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Tytuł:
Detection of wear parameters using existing sensors in the machines environment to reach higher machine precision
Autorzy:
Schmitt, R. R.
Decressin, R.
Dietrich, F.
Dröder, K.
Powiązania:
https://bibliotekanauki.pl/articles/99855.pdf
Data publikacji:
2018
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
predictive maintenance
analysis
precision
predictive model
Opis:
This paper presents methods to plan predictive maintenance for precision assembly tasks. One of the key aspects of this approach is handling the abnormalities during the development phase, i.e. before and during process implementation. The goal is to identify abnormalities which are prone to failure and finding methods to monitor them. To achieve this, an example assembly system is presented. A Failure Mode and Effects Analysis is then applied to this assembly system to show which key elements influence the overall product quality. Methods to monitor these elements are presented. A unique aspect of this approach is exploring additional routines which can be incorporated in the process to identify machine specific problems. As explained within the paper, the Failure Mode and Effects Analysis shows that the resulting quality in a case study from a precision assembly task is dependent on the precision of the rotational axis. Although the rotational axis plays a significant role in the resulting error, it is hard to explicitly find a correlation between its degradation and produced parts. To overcome this, an additional routine is added to the production process, which directly collects information about the rotational axis. In addition to the overall concept, this routine is discussed and its ability to monitor the rotational axis is confirmed in the paper.
Źródło:
Journal of Machine Engineering; 2018, 18, 2; 85-96
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model predictive control of the two-mass drive system with mechanical backlash
Autorzy:
Serkies, P. J.
Szabat, K.
Powiązania:
https://bibliotekanauki.pl/articles/97185.pdf
Data publikacji:
2011
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
predictive control
drive system
MPC
Opis:
In the paper an application of the model predictive controller for the drive system with elasticity and backlash is presented. In the introduction the control problem of the drive system with mechanical backlash is introduced. Next, the mathematical model of the drive is presented. Then the predictive algorithm is described briefly. The performance of the predictive controller is examined in the simulation study. The influence of the changing of the matrix Q is tested.
Źródło:
Computer Applications in Electrical Engineering; 2011, 9; 170-180
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predykcyjne sterowanie ciśnieniem sieci wodociągowej w celu optymalizacji parametrów jej pracy
Predictive pressure control of a water distribution network
Autorzy:
Wiglenda, R.
Moczulski, W.
Powiązania:
https://bibliotekanauki.pl/articles/152757.pdf
Data publikacji:
2011
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
sterowanie predykcyjne
Model Predictive Control
MPC
sterowanie ciśnieniem w sieci wodociągowej
predictive control
model predictive control
pressure control of a water distribution network
Opis:
W artykule zaprezentowano wyniki badań dotyczących sterowania predykcyjnego ciśnieniem w sieci wodociągowej o wielu zasilaniach. Przedmiotem sterowania była optymalizacja parametrów pracy sieci, mająca na celu obniżenie ciśnienia w porze nocnej, w miejscach sieci, gdzie ze względu na ich położenie ponad poziomem morza występuje maksymalne ciśnienie, przy jednoczesnym zapewnieniu minimalnego wymaganego ciśnienia w pozostałych punktach sieci. Rezultat ten uzyskano przez manipulowanie ciśnieniami na zasilaniach, które daje pożądany przebieg linii ciśnień dla danej strefy. W budowie regulatora zastosowano algorytm Generalized Predictive Control (GPC), w którym model obiektu sterowanego zidentyfikowano w oparciu o dane otrzymane w wyniku eksperymentu numerycznego. Sprawdzenie poprawności rozwiązania przeprowadzono w środowisku Matlab® korzystając z przybornika Model Predictive Control™. Weryfikację działania metody oparto o dane i strukturę obiektu zidentyfikowane w ramach projektu prowadzonego we współpracy z PWiK Rybnik Sp. z. o. o. Otrzymane wyniki potwierdzają poprawność działania metody dla tak postawionego problemu eksploatacji sieci wodociągowych.
The paper presents results of research on predictive control of a water distribution network with multiple supplies. The object of study was optimization of work parameters of a water distribution network in order to decrease the level of pressure at night for the places with the highest pressure values. This was achieved by manipulating the supply pressures to obtain the desired level of the pressure lines for a given area. The considered water distribution networks are shown in Figs. 1 and 2, whereas description of the network characteristic points is given in Tab. 1. The detailed discussion of selected water networks is contained in [1, 2, 3]. The authors made a deep literature review [4] and, as a result, selected the Generalized Predictive Control algorithm (see Fig. 4) as a framework for the predictive control. The schema of the predictive control for an exemplary water distribution network is shown in Fig. 5. The con-trolled plant was identified from a numerical experiment made on a network simulation model. An exemplary result of model identification is shown in Fig. 3. The solution was verified in the Matlab® environment with use of the Model Predictive Control™ toolbox. The results shown in Figs. 6-10 confirm that the method is a proper solution to this water distribution network maintenance problem. Implementation of the predictive control in a real water distribution network needs some costs to be incurred. However, it is expected that the costs will be returned soon, thanks to significant decrease in the number of malfunctions in the network caused by excessive hydraulic loads of the water network elements. In addition, it is possible to use the predictive control as a solution to the problem of undetected leakages whose level may be reduced with this method of control.
Źródło:
Pomiary Automatyka Kontrola; 2011, R. 57, nr 9, 9; 1028-1031
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison between GPC and adaptive GPC based on Takagi Sugeno multi-model for an Activated Sludge Reactor
Autorzy:
Matoug, L.
Khadir, M. T.
Powiązania:
https://bibliotekanauki.pl/articles/206049.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
adaptive generalized predictive control
generalized predictive control
Takagi Sugeno
activated sludge reactor
activated sludge model
Opis:
This paper investigates the use of Adaptive Generalized Predictive Control (TS-AGPC) for an activated sludge reactor, based on a Takagi Sugeno (TS) model, and presents the comparison between the latter and Generalized Predictive Control using an overall TS model (TS-GPC). The reduced bio-reactor Activated Sludge ASM1 Model, which describes the biological degradation of an activated sludge reactor, is designed based on several simplifications, as a TS model, its structure being based on a set of linear submodels, covering the process input-output space, interpolated by a nonlinear weighting function µ. The adaptive GPC approach is obtained by switching between linear submodels of the TS formulation. This is performed by selecting, in turns, a portion of the weighting function µ. The winning model will then act as an internal model for the TS-AGPC control law formulation, whereas the complete TS model is used in the calculation of the TS-GPC control law. Finally, the performance under input and parametric disturbances as well as control variable constraints of the TS-AGPC controller are compared to those for a global TS-GPC controller and a benchmark PID in terms of error and response dynamics.
Źródło:
Control and Cybernetics; 2017, 46, 2; 147-176
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decision Making in Reference to Model of Marketing Predictive Analytics – Theory and Practice
Autorzy:
Tarka, Piotr
Łobiński, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/417287.pdf
Data publikacji:
2014-03-15
Wydawca:
Akademia Leona Koźmińskiego w Warszawie
Tematy:
model of predictive analytics marketing
decisions
Opis:
Purpose: The objective of this paper is to describe concepts and assumptions of predictive marketing analytics in reference to decision making. In particular, we highlight issues pertaining to the importance of data and the modern approach to data analysis and processing with the purpose of solving real marketing problems that companies encounter in business. Methodology: In this paper authors provide two study cases showing how, and to what extent predictive marketing analytics work can be useful in practice e.g., investigation of the marketing environment. The two cases are based on organizations operating mainly on Web site domain. The fi rst part of this article, begins a discussion with the explanation of a general idea of predictive marketing analytics. The second part runs through opportunities it creates for companies in the process of building strong competitive advantage in the market. The paper article ends with a brief comparison of predictive analytics versus traditional marketing-mix analysis. Findings: Analytics play an extremely important role in the current process of business management based on planning, organizing, implementing and controlling marketing activities. Predictive analytics provides the actual and current picture of the external environment. They also explain what problems are faced with the company in business activities. Analytics tailor marketing solutions to the right time and place at minimum costs. In fact they control the effi ciency and simultaneously increases the effectiveness of the firm. Practical implications: Based on the study cases comparing two enterprises carrying business activities in different areas, one can say that predictive analytics has far more been embraces extensively than classical marketing-mix analyses. The predictive approach yields greater speed of data collection and analysis, stronger predictive accuracy, better obtained competitor data, and more transparent models where one can understand the inner working of the model. Originality: Authors describe the importance of analytics which enhance the decisions that the company makes as it executes strategies and plans, so that the company can be more effective and achieve better results. The key factor that enables to execute marketing strategies accurately and build competitive advantage in the future includes predictive modeling. The ability to predict probable futures allows us to shape the future, rather than merely survive whatever it brings.
Źródło:
Management and Business Administration. Central Europe; 2014, 22, 1; 60-69
2084-3356
Pojawia się w:
Management and Business Administration. Central Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust model predictive control for autonomous Underwater Vehicle – Manipulator System with fuzzy compensator
Autorzy:
Esfahani, Hossein Nejatbakhsh
Powiązania:
https://bibliotekanauki.pl/articles/260317.pdf
Data publikacji:
2019
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
UVMS
model predictive control
fuzzy compensator
Opis:
This paper proposes an improved Model Predictive Control (MPC) approach including a fuzzy compensator in order to track desired trajectories of autonomous Underwater Vehicle Manipulator Systems (UVMS). The tracking performance can be affected by robot dynamical model uncertainties and applied external disturbances. Nevertheless, the MPC as a known proficient nonlinear control approach should be improved by the uncertainty estimator and disturbance compensator particularly in high nonlinear circumstances such as underwater environment in which operation of the UVMS is extremely impressed by added nonlinear terms to its model. In this research, a new methodology is proposed to promote robustness virtue of MPC that is done by designing a fuzzy compensator based on the uncertainty and disturbance estimation in order to reduce or even omit undesired effects of these perturbations. The proposed control design is compared with conventional MPC control approach to confirm the superiority of the proposed approach in terms of robustness against uncertainties, guaranteed stability and precision.
Źródło:
Polish Maritime Research; 2019, 2; 104-114
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive factors for preeclampsia in pregnant women: a unvariate and multivariate logistic regression analysis
Autorzy:
Direkvand-Moghadam, Ashraf
Khosravi, Afra
Sayehmiri, Kourosh
Powiązania:
https://bibliotekanauki.pl/articles/1039684.pdf
Data publikacji:
2012
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
preeclampsia
risk factors
independent predictive factors
Opis:
Introduction: Several risk factors have been used to predict preeclampsia. The role of some risk factors as predictors associated with preeclampsia among Iranian women was analyzed in the present study using logistic regression. Materials and Methods: 610 women attending the obstetric ward of Mustafa hospital in Ilam were enrolled in this study. Demographic variables such as age, Body Mass Index (BMI), medical and obstetrics variables such as education, number of pregnancy, abortion and parity from May to September 2010 were analyzed. We used the unvaried and multiple logistic regression analyses to predict preeclampsia. Results: The history of preeclampsia, hypertension, and infertility showed to be good independent predicator variables for preeclampsia using multivariate logistic regression analysis (OR was 5.46, 2.34 and 3.07 respectively). Area Under the Receiver Operation Character (AUROC) was estimated to be 0.67 (95% CI 0.59-0.67, p<0.01) indicating the efficacy of the model for the prediction. Conclusion: The history of preeclampsia, hypertension and infertility predict preeclampsia with an increased odds ratio. Using such variables in regression analysis can help to diagnose preeclampsia beforehand and hence allow timely intervention.
Źródło:
Acta Biochimica Polonica; 2012, 59, 4; 673-677
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Risk associated with heavy metals in children playground soils of Owerri metropolis, Imo State, Nigeria
Autorzy:
Wirnkor, Verla Andrew
Evelyn Ngozi, Verla Evelyn
Powiązania:
https://bibliotekanauki.pl/articles/1118068.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Bioconcentration
Metal fractions
Models
Predictive
Risk
Opis:
Despite recording the worst heavy metal disaster involving children, there is still scarcity of information on risk assessment of playground soils in Nigeria. In this study, thirty-six soil samples at 0-5 cm depth were collected from nine playgrounds in Owerri metropolis during the dry and rainy seasons. Five heavy metals were fractionated into six chemical fractions using a modified sequential extraction scheme and mean concentrations quantified by AAnalyst 400 Perkin Elmer AAS. Predictive risk models were used to obtain information about the risk of metals contamination to children using these playgrounds for longer periods. These reveal that there were no significant differences in the mean values of bioconcentration factors of all five metals in the various playgrounds for the two years of data. Even though risk values for both dry and rainy season followed the same trend, it was observed that the Zinc showed highest bioconcentration factors (1.6), average daily dose (230.08 mg/kg/day) and risk (5095593 mg/kg/6years). Over all, playgrounds UPS, TSO and SCP had highest mean risk values, respectively. Though with no clear trend, mobility factors showed a weak and positive correlation with risk. Children in playgrounds of public schools within Owerri metropolis could, therefore, be at risk of Mn, Cu and Zn toxicity problems as projected risk values were high for all studied playgrounds. This assessment could help identify playgrounds with urgent need for heavy metals reduction goals, consequently contributing to preserving children’s health.
Źródło:
World News of Natural Sciences; 2017, 10; 49-69
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Life cycle costing used for justifying transition to predictive maintenance strategies
Autorzy:
Mikler, J.
Powiązania:
https://bibliotekanauki.pl/articles/99511.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
reliability
life cycle costing
predictive maintenance
Opis:
As the market imposes constantly increasing levels of reliability and availability of production equipment, it is necessary to shift the focus of maintenance toward predictive strategies. However, as any other investment, implementation of the required condition monitoring systems has to be cost justified. This paper presents a case study showing use of LCC calculations to assess changes of maintenance strategy for a CNC machining centre. It was proven that replacing reactive maintenance tasks with simple condition monitoring and preventive activities results in lower whole life cycle cost of the analysed machining centre.
Źródło:
Journal of Machine Engineering; 2011, 11, 4; 49-58
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive position control in two-mass drive with induction motor over a wide range of speed changes
Autorzy:
Serkies, P. J.
Tarchała, G.
Powiązania:
https://bibliotekanauki.pl/articles/97267.pdf
Data publikacji:
2012
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
DTC-SVM
induction motor
predictive control
Opis:
This paper deals with the predictive shaft position control for the two-mass induction motor drive. The controller co-operates with the Direct Torque Control - Space Vector Modulation (DTC-SVM), also in the field-weakening region. The adaptation mechanism of the torques constraints is applied to ensure that the critical torque is not exceeded. Within the framework of the research the influence of the position time constant and the speed constraint level on the dynamical properties is analysed, also in the field-weakening region.
Źródło:
Computer Applications in Electrical Engineering; 2012, 10; 146-157
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stair-like multivariable generalized predictive control of pulverizing system in thermal power plants
Autorzy:
Zhang, Jiansheng
Zhang, Gang
Gao, Yaokui
Hu, Yong
Powiązania:
https://bibliotekanauki.pl/articles/136266.pdf
Data publikacji:
2019
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
power plants
predictive Control
pulverization process
Opis:
Pulverizing system is an important part in the clean and efficient utilization of coal in thermal power plant, and the optimal control of the system is an important way to achieve this goal. This paper presents a stair-like multivariable generalized predictive control scheme for a pulverizing system. This control scheme focuses on the problem of predictive control algorithm in practical application, and integrates the feedforward experience in traditional control schemes of pulverizing system. Simulation results showed that the scheme are able to realize the decoupling control of the pulverizing system, avoid the problem of matrix inversion, reduce the amount of calculation, and has certain engineering application value.
Źródło:
Transactions on Environment and Electrical Engineering; 2019, 3, 1; 21-25
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mechanizm predykcji liniowej w zadaniu biometrycznej identyfikacji mówcy
The Mechanism of Linear Pprediction in the Task Speaker Identification
Autorzy:
TWARÓG, Bogusław
ŻESŁAWSKA, Ewa
Powiązania:
https://bibliotekanauki.pl/articles/457373.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Rzeszowski
Tematy:
identyfikacja
biometria
rozpoznawanie mowy
LPC (linear predictive coding)
identification
biometrics
voice recognition
LPC (Linear Predictive Coding)
Opis:
W artykule przedstawiono mechanizm predykcji liniowej w zadaniu biometrycznej identyfikacji mówcy. Przedstawiono zagadnienie metody opartej na predykcji liniowej LPC (linear predictive coding). Zaprezentowano otrzymane wyniki badań zaprojektowanej aplikacji.
The article presents the linear prediction mechanism in the task of biometric identification speaker. The problems method based on linear prediction LPC (Linear Predictive Coding). Also the preliminary results has been presented too.
Źródło:
Edukacja-Technika-Informatyka; 2015, 6, 3; 271-277
2080-9069
Pojawia się w:
Edukacja-Technika-Informatyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction control systems in marine applications
Autorzy:
Gierusz, W.
Miller, A.
Powiązania:
https://bibliotekanauki.pl/articles/117282.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
control system
marine applications
ship motion
automatic system
Model Predictive Control (MPC)
multiple input
Multiple Output (MIMO)
Model Predictive Heuristic Control (MPHC)
Generalized Predictive Control (GPC)
Opis:
The paper presents one of the modern control methods used for steering of the ship motion. The different automatic systems used to navigate the vessels are described at the beginning. Next, prediction control methodology is presented and multidimensional MPC regulator applied to steering of the training ship is shown as a technical product. Tests results from the real-time experiments with the mentioned controller are presented at the end of the article.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 361-366
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Problemy wspomagania decyzji w systemach utrzymania ruchu
Problems of decision support in maintenance systems
Autorzy:
Kosicka, E.
Mazurkiewicz, D.
Gola, A.
Powiązania:
https://bibliotekanauki.pl/articles/408648.pdf
Data publikacji:
2016
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
predykcyjne utrzymanie ruchu
model predykcyjny
awaria wyposażenia
diagnostyka uszkodzeń
predictive maintenance
predictive model
equipment failure
fault diagnosis
Opis:
W artykule przedstawiono problemy związane z opracowaniem modelu adaptacyjnego algorytmu wspomagania decyzji w systemie utrzymania ruchu, który w zależności od zmieniających się parametrów procesów resztkowych, dobiera odpowiedni model matematyczny wyznaczony przez kryteria predykcyjne i informacyjne. Proponowany model zawiera dodatkowo część decyzyjną, która na podstawie informacji skupiających się na obszarze działań Służb Utrzymania Ruchu generuje zawężony optymalny przedział czasu, w którym konieczne jest przeprowadzenie konserwacji.
The paper proposes problems with development of a model of adaptive algorithm for maintenance decision support system which – depending on the changing parameters of residual processes – selects an adequate mathematical model based on predictive and informative criteria. The proposed model additionally contains a maintenance decision-related part which – based on the information about actions taken by maintenance services – generates a constrained optimal time interval for performing the necessary maintenance work.
Źródło:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2016, 4; 49-52
2083-0157
2391-6761
Pojawia się w:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model adaptacyjnego algorytmu wspomagania decyzji w systemie utrzymania ruchu
A model of adaptive algorithm for maintenance decision support system
Autorzy:
Kosicka, E.
Mazurkiewicz, D.
Gola, A.
Powiązania:
https://bibliotekanauki.pl/articles/339925.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Zarządzania Produkcją
Tematy:
predykcyjne utrzymanie ruchu
modele predykcyjne
awarie sprzętu
diagnozowanie usterek
predictive maintenance
predictive models
equipment failure
fault diagnosis
Opis:
Currently used predictive maintenance systems predict future events by monitoring residual processes using the enforced predictive model. Despite the benefits resulting from their implementation in companies (e.g. savings resulting from preventing failure), it is necessary to draw attention to the fact that such models lack flexibility in adapting to the dynamically changing values of observation vectors due to real-time readout which can provide more accurate predictions. The paper proposes a model of adaptive algorithm for maintenance decision support system which - depending on the changing parameters of residual processes - selects an adequate mathematical model based on predictive and in-formative criteria. Moreover, to produce more accurate predictions this model uses additional input data for prediction including values of residual processes as well as technical or quality-related aspects due to the extended range of observed factors that affect failure occurrence. The proposed model additionally contains a maintenance decision-related part which - based on the information about actions taken by maintenance services - generates a constrained optimal time interval for performing the necessary maintenance work.
Źródło:
Zarządzanie Przedsiębiorstwem; 2016, 19, 4; 29-35
1643-4773
Pojawia się w:
Zarządzanie Przedsiębiorstwem
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Suboptimal Non-linear Predictive Control Based on MLP and RBF Neural Models with Measured Disturbance Compensation
Autorzy:
Ławryńczuk, M.
Powiązania:
https://bibliotekanauki.pl/articles/384285.pdf
Data publikacji:
2008
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
predictive control
neural networks
linearisation
quadratic programming
Opis:
This paper is concerned with a computationally efficient (suboptimal) non-linear Model Predictive Control (MPC) algorithm based on two types of neural models: Multilayer Perceptron (MLP) and Radial Basis Function (RBF) structures. The model takes into account not only controlled but also the uncontrolled input of the process, i.e. the measured disturbance. The algorithm is computationally efficient, because it results in a quadratic programming problem, which can be effectively solved on-line by means of a numerically reliable software subroutine. Moreover, the algorithm gives good closed-loop control performance, comparable to that obtained in the fully-fledged non-linear MPC technique, which hinges on non-linear, usually non-convex optimisation.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 2; 54-64
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
General overview of maintenance strategies – concepts and approaches
Autorzy:
Gackowiec, Paulina
Powiązania:
https://bibliotekanauki.pl/articles/2064749.pdf
Data publikacji:
2019
Wydawca:
STE GROUP
Tematy:
maintenance
maintenance strategies
maintenance management
predictive maintenance
Opis:
This paper presents a literature review of maintenance strategies formulation. The purpose of this article is to provide an overview of different published concepts of maintenance strategies, distinguish the most common approaches to this issue and find a general tendency in strategies classification. Furthermore, the review is aimed to point out the importance of unscheduled downtime which might occur during equipment runtime in a production plant. The paper classifies the existing maintenance concepts and emphasizes key assumptions of the analysed strategies. The literature study and carried out analysis could be useful to find appropriate reliability assurance methods. In addition, defined maintenance approaches might help in decision making process in a company. The paper is a comprehensive overview of discussed strategies, which indicates the most frequent maintenance models in the analysed papers.
Źródło:
Multidisciplinary Aspects of Production Engineering; 2019, 2, 1; 126--139
2545-2827
Pojawia się w:
Multidisciplinary Aspects of Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Verification of the predictive segmentation algorithm for the laser triangulation method
Autorzy:
Reiner, J.
Stankiewicz, M.
Powiązania:
https://bibliotekanauki.pl/articles/220548.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
laser triangulation
predictive segmentation
discrete Gaussian curvature
Opis:
Laser triangulation is one of the machine vision measurement methods most commonly used in 3D quality control. However, considering its susceptibility to interference, it cannot be used in certain areas of industrial production e.g. very shiny surfaces. Thus, for the improvement of its applicability, a predictive algorithm of light profile segmentation was designed, where - as a result of using a'priori knowledge - the method becomes resistant to secondary reflexes. The developed technique has been tested on selected parts with surfaces typical for the machine-building industry. The evaluation has been presented based on the surface representation (mapping) error analysis, using the difference between the obtained cloud of points and the nominal surface as processing data, as well as scatter of the discrete Gauss curvature.
Źródło:
Metrology and Measurement Systems; 2011, 18, 4; 667-678
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Derivation of a Cost Model to Aid Management of CNC Machine Tool Accuracy Maintenance
Autorzy:
Shagluf, A.
Longstataff, A. P.
Fletcher, S.
Powiązania:
https://bibliotekanauki.pl/articles/99741.pdf
Data publikacji:
2015
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
downtime cost
machine tools
predictive calibration
accuracy
Opis:
Manufacturing industries strive to produce improved component accuracy while not reducing machine tool availability or production throughput. The accuracy of CNC production machines is one of the critical factors in determining the quality of these components. Maintaining the capability of the machine to produce in-tolerance parts can be approached in one of two ways: run to failure or periodic calibration and monitoring. The problem is analogous to general machine tool maintenance, but with the clear distinction that the failure mode of general machine tool components results in a loss of production, whereas that of accuracy allows parts to be produced, which are only later detected as non-conforming as part of the quality control processes. This distinction creates problems of cost-justification, since at this point in the manufacturing chain, any responsibility of the machine is not directly evident. Studies in the field of maintenance have resulted in cost calculations for the downtime associated with machine failure. This paper addresses the analogous, unanswered problem of maintaining the accuracy of CNC machine tools. A mathematical cost function is derived that can form the basis of a strategy for either running until non-conforming parts are detected or scheduling predictive CNC machine tool calibrations. This is sufficiently generic that it can consider that this decision will be based upon different scales of production, different values of components etc. Therefore, the model is broken down to a level where these variables for the different inputs can be tailored to the individual manufacturer.
Źródło:
Journal of Machine Engineering; 2015, 15, 2; 17-43
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine tool ability representation: a review
Autorzy:
Sadasivam, L.
Archenti, A.
Sandberg, U.
Powiązania:
https://bibliotekanauki.pl/articles/99804.pdf
Data publikacji:
2018
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machine tool
ability
health
predictive maintenance
accuracy
Opis:
Smart manufacturing and predictive maintenance are current trends in the manufacturing industry. However, the holistic understanding of the machine tool health condition in terms of accuracy, functions, process and availability is still unclear. This uncertainty renders the development of models and the data acquisition related to machine tool health condition ineffective. This paper proposes the term machine tool ability as an interconnection between the accuracy, functions, the process and the availability to overcome the lack of the holistic understanding of the machine tool. This will facilitate the further development of qualitative or quantitative methods as well as models. The research highlights the challenges and gaps to understand the machine tool ability.
Źródło:
Journal of Machine Engineering; 2018, 18, 2; 5-16
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of a Machine Learning Based Predictive Analytics System for Spam Problem
Autorzy:
Yüksel, A.
Çankaya, Ş.
Üncü, İ.
Powiązania:
https://bibliotekanauki.pl/articles/1031624.pdf
Data publikacji:
2017-09
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
spam
predictive analytics
machine learning
trust identities
Opis:
Spamming is the act of abusing an electronic messaging system by sending unsolicited bulk messages. Filtering of these messages is merely another line of defence and does not prevent spam messages from circulating in email systems. This problem causes users to distrust email systems, suspect even legitimate emails and leads to substantial investment in technologies to counter the spam problem. Spammers threaten users by abusing the lack of accountability and verification features of communicating entities. To contribute to the fight against spamming, a cloud-based system that analyses the email server logs and uses predictive analytics with machine learning to build trust identities that model the email messaging behavior of spamming and legitimate servers has been designed. The system constructs trust models for servers, updating them regularly to tune the models. This study proposed that this approach will not only minimize the circulation of spam in email messaging systems, but will also be a novel step in the direction of trust identities and accountability in email infrastructure.
Źródło:
Acta Physica Polonica A; 2017, 132, 3; 500-504
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault Sensitivity of Explicit DMC and GPC Algorithms
Autorzy:
Gawkowski, P.
Ławryńczuk, M.
Marusak, P.
Powiązania:
https://bibliotekanauki.pl/articles/384867.pdf
Data publikacji:
2009
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
dependability
fault injection
process control
predictive control
Opis:
This paper studies dependability of software implementation of DMC (Dynamic Matrix Control) and GPC (Generalised Predictive Control) Model Predictive Control (MPC) algorithms. Explicit formulation of algorithms is considered in which the control laws are calculated off-line. Dependability is evaluated using software implemented fault injection approach. Tests are performed in the control system of a remotely controlled robot vehicle used in nuclear plants.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 1; 52-56
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive Maintenance Sensors Placement by Combinatorial Optimization
Autorzy:
Borissova, D. I.
Mustakerov, I. C.
Doukovska, L. A.
Powiązania:
https://bibliotekanauki.pl/articles/227278.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
predictive maintenance
optimal sensors placement
combinatorial optimization
Opis:
The strategy of predictive maintenance monitoring is important for successful system damage detection. Maintenance monitoring utilizes dynamic response information to identify the possibility of damage. The basic factors of faults detection analysis are related to properties of the structure under inspection, collect the signals and appropriate signals processing. In vibration control, structures response sensing is limited by the number of sensors or the number of input channels of the data acquisition system. An essential problem in predictive maintenance monitoring is the optimal sensor placement. The paper addresses that problem by using mixed integer linear programming tasks solving. The proposed optimal sensors location approach is based on the difference between sensor information if sensor is present and information calculated by linear interpolation if sensor is not present. The tasks results define the optimal sensors locations for a given number of sensors. The results of chosen sensors locations give as close as possible repeating the curve of structure dynamic response function. The proposed approach is implemented in an algorithm for predictive maintenance and the numerical results indicate that together with intelligent signal processing it could be suitable for practical application.
Źródło:
International Journal of Electronics and Telecommunications; 2012, 58, 2; 153-158
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Niedotlenienie guza jako czynnik predykcyjny w radioterapii onkologicznej
Tumour hypoxia as a predictive factor for radiotherapy
Autorzy:
Martenka, Piotr
Roszak, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/908212.pdf
Data publikacji:
2006
Wydawca:
Medical Communications
Tematy:
anemia
cervix carcinoma
hypoxia
predictive assay
radiotherapy
Opis:
Radiotherapy is, next to surgery, the basic method of treatment in oncology. The intensive searching of the predictive factors for radiotherapy effectiveness, are still continuing. The mechanism of radiotherapy action depends on the cellular oxygen presence. The latest studies evidence, that the molecular oxygen, through the mechanism of fixation, leads to destruction of the DNA damage, caused by the ionizing radiation, repair. Number of studies has demonstrated, that the tumour hypoxia evaluation correlates with radiotherapy effectiveness. However, the universal method assessing the tumour hypoxia does not exist. Actually used methods, as Eppendorf’s electrode, the molecular markers of hypoxia evaluation, or PET studies with oxydo-reductive radiopharmaceutical agents, bring conflicting results. So, a lot of doubts about the quantitative and qualitative character of relationship between hypoxia and sensitivity for radiotherapy still exist. Moreover, the analysis is impeded by fact, that the hypoxia has significant negative prognostic influence on the treatment results with radiotherapy, through the genome and proteomic changes induction. The paper presents the actual status of knowledge about the influence of tumour hypoxia on radiotherapy effectiveness.
Radioterapia jest obok chirurgii podstawową metodą leczenia nowotworów. Trwają obecnie intensywne poszukiwania czynników predykcyjnych dla skuteczności radioterapii. Mechanizm działania radioterapii zależny jest od obecności tlenu w komórce. Najnowsze doświadczenia dowodzą, że tlen cząsteczkowy poprzez mechanizm fiksacji zaburza naprawę uszkodzeń wywołanych w DNA promieniowaniem jonizującym. Liczne badania wykazały, że ocena niedotlenienia guza koreluje z wynikiem radioterapii. Brak jednak uniwersalnej metody oceniającej hipoksję. Aktualnie stosowane metody, jak pomiar elektrodą Eppendorfa, ocena markerów molekularnych hipoksji czy badania PET z użyciem oksydoredukcyjnych radiofarmaceutyków dostarczają sprzecznych wyników. Istnieje więc wiele wątpliwości co do ilościowego i jakościowego charakteru zależności między niedotlenieniem a wrażliwością na radioterapię. Ponadto analizę utrudnia fakt, że niedotlenienie wywiera znaczny negatywny prognostyczny wpływ na wyniki leczenia radioterapią poprzez indukcję zmian genomowych i proteomicznych. W pracy przedstawiono aktualny stan wiedzy na temat wpływu niedotlenienia guza na skuteczność radioterapii.
Źródło:
Ginekologia Onkologiczna; 2006, 4, 2; 99-107
1731-5379
Pojawia się w:
Ginekologia Onkologiczna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Extension of first order predictive functional controllers to handle higher order internal models
Autorzy:
Khadir, M. T.
Ringwood, J. V.
Powiązania:
https://bibliotekanauki.pl/articles/907939.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
sterowanie predykcyjne
system fazowy
system oscylacyjny
model predictive control
predictive functional control
non-minimum-phase systems
oscillatory systems
Opis:
Predictive Functional Control (PFC), belonging to the family of predictive control techniques, has been demonstrated as a powerful algorithm for controlling process plants. The input/output PFC formulation has been a particularly attractive paradigm for industrial processes, with a combination of simplicity and effectiveness. Though its use of a lag plus delay ARX/ARMAX model is justified in many applications, there exists a range of process types which may present difficulties, leading to chattering and/or instability. In this paper, instability of first order PFC is addressed, and solutions to handle higher order and difficult systems are proposed. The input/output PFC formulation is extended to cover the cases of internal models with zero and/or higher order pole dynamics in an ARX/ARMAX form, via a parallel and cascaded model decomposition. Finally, a generic form of PFC, based on elementary outputs, is proposed to handle a wider range of higher order oscillatory and non-minimum phase systems. The range of solutions presented are supported by appropriate examples.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2008, 18, 2; 229-239
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic Algorithm for Linear Quadratic Gaussian Predictive Control
Autorzy:
Ordys, A. W.
Hangstrup, M. E.
Grimble, M. J.
Powiązania:
https://bibliotekanauki.pl/articles/911167.pdf
Data publikacji:
2000
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
przestrzeń fazowa
sterowanie wielowymiarowe
sterowanie predykcyjne
state-space design
multivariable control
linear quadratic Gaussian predictive control
generalized predictive control
Opis:
In this paper, the optimal control law is derived for a multi-variable state-space Linear Quadratic Gaussian Predictive Controller (LQGPC). A dynamic performance index is utilized resulting in an optimal steady-state controller. Knowledge of future reference values is incorporated into the controller design and the solution is derived using the method of Lagrange multipliers. It is shown how the well-known GPC controller can be obtained as a special case of the LQGPC controller design. The important advantage of using the LQGPC framework for designing predictive controllers is that, based on stabilizing properties of LQG control, it enables a systematic approach to selection of the design parameters to yield a stable closed-loop system. The system model considered in this paper can be further extended toalso include direct feed-through and knowledge about future external inputs.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2000, 10, 2; 227-244
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nowe rozwiązania inteligentnych maszyn dla górnictwa
New solutions of intelligent machines for the mining industry
Autorzy:
Winkler, T.
Drwięga, A.
Powiązania:
https://bibliotekanauki.pl/articles/199574.pdf
Data publikacji:
2015
Wydawca:
Instytut Techniki Górniczej KOMAG
Tematy:
Information Technology (IT)
Predictive Maintenance
kombajn ścianowy
przenośnik zgrzebłowy
Information technology (IT)
predictive maintenance
longwall shearer
flight-bar conveyors
Opis:
W artykule zaprezentowano przykładowe rozwiązania konstrukcyjne i organizacyjne opracowane w Instytucie Techniki Górniczej KOMAG wykorzystujące metody i narzędzia objęte wspólną nazwą Information Technology (IT). Przedstawiono przykładowe maszyny i urządzenia, których praca jest kontrolowana i nadzorowana przez zaawansowane systemy mechatroniczne, takie jak kombajn ścianowy KSW-800NE i przenośnik zgrzebłowy.
Examples of design and organizational solutions developed at the KOMAG Institute of Mining Technology, which use the Information Technology (IT) methods and tools, are given. Examples of machines and devices such as KSW-800NE longwall shearer and flight-bar conveyor, operation of which is controlled by advanced mechatronic systems, are presented.
Źródło:
Maszyny Górnicze; 2015, 33, 3; 15-21
0209-3693
2450-9442
Pojawia się w:
Maszyny Górnicze
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Strategic Planning for the Development of Ukrainian Agriculture in the Face of Climate Change
Autorzy:
Anna, Ostapenko
Powiązania:
https://bibliotekanauki.pl/articles/633058.pdf
Data publikacji:
2016-06-01
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
strategic planning
agriculture
climate change
predictive model
Ukraine
Opis:
The essence of the “strategic planning” is explored and the peculiarities of strategic planning in the agricultural sector are defined. Global climate change as a factor stimulating the formation of new approaches to strategic planning of agricultural development is considered, and the impact of climate change on the agricultural sector of Ukraine is evaluated. A predictive model of changes in the parameters of agricultural production under expected climate change conditions is constructed, and organizational, socio-economical and environmental components of the strategy of agricultural development are outlined and the conceptual bases for improvement of strategic planning for the development of the agricultural sector in the face of climate change are substantiated.
Źródło:
Comparative Economic Research. Central and Eastern Europe; 2016, 19, 2; 43-55
1508-2008
2082-6737
Pojawia się w:
Comparative Economic Research. Central and Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Adaptive neurofuzzy predictive control of nuclear steam generators
Autorzy:
Ahmad, Z.
Powiązania:
https://bibliotekanauki.pl/articles/146920.pdf
Data publikacji:
2013
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
neurofuzzy model
predictive control
U-tube steam generator
Opis:
The main emphasis of this paper is the application of adaptive neurofuzzy model-based predictive control, to regulate the water level in the U-tube steam generating (UTSG) unit used for electricity generation. A nonlinear predictive controller is designed on the basis of a Takagi-Sugeno fuzzy model with B-spline membership function. By on-line adaptation of the neurofuzzy model, improvement of the control performance can be achieved with the time-variant process behaviour. For this purpose, a normalized least-square algorithm is utilized which exploits the local linearity of Takagi-Sugeno fuzzy models. An optimization approach with a quadratic programing technique is used to calculate predictions of the future control actions. The effectiveness and real-world applicability of the proposed approach are demonstrated by computer simulation. The control experiments were successfully conducted for this nonlinear process with satisfactory results and performances.
Źródło:
Nukleonika; 2013, 58, 2; 301-306
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Grid Voltages Sensorless Control of the PWM Rectifier with Active Filtering
Autorzy:
Wojciechowski, D.
Powiązania:
https://bibliotekanauki.pl/articles/262568.pdf
Data publikacji:
2006
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie
Tematy:
active filters
power quality
predictive control
estimation
techniques
Opis:
The paper presents structure and experimental results of the control system of the PWM rectifier with active filtering function. Proposed control system was designed for maximum filtering performance in steady state. This task is realized by predictive algorithms applied for both control as well as calculation of grid currents. Accuracy of these algorithms strongly depends on precise information about future samples of equivalent electromotive force of the grid, which is in general distorted and unbalanced. For this purpose, a novel estimator and predictor is proposed. The control of DC voltage is realized with application of variable gain PI controller. It ensures high dynamics in transient states and low gain for steady state oscillations of DC voltage. Proposed control system is AC voltages sensor less and has excellent active filtering performance, even at presence of grid voltage distortions.
Źródło:
Electrical Power Quality and Utilisation. Journal; 2006, 12, 1; 35-43
1896-4672
Pojawia się w:
Electrical Power Quality and Utilisation. Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A data-driven predictive maintenance strategy based on accurate failure prognostics
Autorzy:
Chen, Chuang
Wang, Cunsong
Lu, Ningyun
Jiang, Bin
Xing, Yin
Powiązania:
https://bibliotekanauki.pl/articles/1841691.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
predictive maintenance
failure prognostics
performance degradation
maintenance cost
Opis:
Maintenance is fundamental to ensure the safety, reliability and availability of engineering systems, and predictive maintenance is the leading one in maintenance technology. This paper aims to develop a novel data-driven predictive maintenance strategy that can make appropriate maintenance decisions for repairable complex engineering systems. The proposed strategy includes degradation feature selection and degradation prognostic modeling modules to achieve accurate failure prognostics. For maintenance decision-making, the perfect time for taking maintenance activities is determined by evaluating the maintenance cost online that has taken into account of the failure prognostic results of performance degradation. The feasibility and effectiveness of the proposed strategy is confirmed using the NASA data set of aero-engines. Results show that the proposed strategy outperforms the two benchmark maintenance strategies: classical periodic maintenance and emerging dynamic predictive maintenance.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 2; 387-394
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine Tool Control with Additional Measurement for Increasing the Control System Dynamics
Autorzy:
Strakoš, P.
Valášek, M.
Powiązania:
https://bibliotekanauki.pl/articles/971176.pdf
Data publikacji:
2009
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machine tool
additional measurement
predictive control
Kalman filter
Opis:
As a typical type of controller in the area of machine tools the classical cascade controller is used. It consists of several PI control loops and allows the position control of the machine tool. This type of controller is easy to be implemented and gives satisfactory results but only in the case that the sufficiently stiff machine tool is being controlled. If adverse is true the performance of the controller deteriorates. This is due to the fact, that the controller is limited by the structural properties of the machine tool. The bandwidth of the controller is restricted by the position of the first anti-resonant frequency of the machine tool. The control techniques overcoming this limitation have been extensively researched. As a result the control technique employing the additional measurement of TCP, the model-based predictive control and the Kalman filter is used and delivers the increased control system dynamics. The paper deals with the description of the proposed control concept and the practical methods for additional measurement together with the Kalman filter tuning are described. The evaluation of the proposed control concept is based on the experimentally measured data on the machine tool axis with significant flexibility.
Źródło:
Journal of Machine Engineering; 2009, 9, 3; 5-16
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Long-horizon model predictive control of induction motor drive
Autorzy:
Wróbel, Karol Tomasz
Szabat, Krzysztof
Serkies, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/140624.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
long horizon
induction motor drive
Opis:
This paper investigates the application of a novel Model Predictive Control struc- ture for the drive system with an induction motor. The proposed controller has a cascade-free structure that consists of a vector of electromagnetics (torque, flux) and mechanical (speed) states of the system. The long-horizon version of the MPC is investigated in the paper. In order to reduce the computational complexity of the algorithm, an explicit version is applied. The influence of different factors (length of the control and predictive horizon, values of weights) on the performance of the drive system is investigated. The effectiveness of the proposed approach is validated by some experimental tests.
Źródło:
Archives of Electrical Engineering; 2019, 68, 3; 579-593
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The number of clusters in hybrid predictive models: does it really matter?
Autorzy:
Łapczyński, Mariusz
Jefmański, Bartłomiej
Powiązania:
https://bibliotekanauki.pl/articles/1046637.pdf
Data publikacji:
2020
Wydawca:
Główny Urząd Statystyczny
Tematy:
hybrid predictive model
k-means algorithm
decision trees
Opis:
For quite a long time, research studies have attempted to combine various analytical tools to build predictive models. It is possible to combine tools of the same type (ensemble models, committees) or tools of different types (hybrid models). Hybrid models are used in such areas as customer relationship management (CRM), web usage mining, medical sciences, petroleum geology and anomaly detection in computer networks. Our hybrid model was created as a sequential combination of a cluster analysis and decision trees. In the first step of the procedure, objects were grouped into clusters using the k-means algorithm. The second step involved building a decision tree model with a new independent variable that indicated which cluster the objects belonged to. The analysis was based on 14 data sets collected from publicly accessible repositories. The performance of the models was assessed with the use of measures derived from the confusion matrix, including the accuracy, precision, recall, F-measure, and the lift in the first and second decile. We tried to find a relationship between the number of clusters and the quality of hybrid predictive models. According to our knowledge, similar studies have not been conducted yet. Our research demonstrates that in some cases building hybrid models can improve the performance of predictive models. It turned out that the models with the highest performance measures require building a relatively large number of clusters (from 9 to 15).
Źródło:
Przegląd Statystyczny; 2019, 66, 3; 228-238
0033-2372
Pojawia się w:
Przegląd Statystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mass Violence Detection Using Data Mining Techniques
Autorzy:
Varma, Rishabh
Ahmad, Sartaj
Powiązania:
https://bibliotekanauki.pl/articles/1159845.pdf
Data publikacji:
2018
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Data mining
Predictive model
Text mining
Tweet analysis
Opis:
The world is now witnessing a tectonic shift in the way in which people react to social and economic impacts such as rise in fossil fuel prices, implication of new rules and regulations, and other situations which directly affect the emotions of a certain group of people. Violence is the most widely used way of expressing anger and discontent for a particular situation which might have occurred. Such actions can cause loss of millions of dollars and precious lives of people who come in way of such protests. These protests are mainly conducted through social media platforms such as twitter as it is not possible to personally communicate to tens of thousand people to accumulate at a certain place, therefore it is extremely important as well as necessary to keep an eye on the social media statuses and updates of people in the times of crisis and heavy tension. This paper aims to collect the tweets of people uploaded on twitter and then process them to find out the location, time and intensity of the mass violence so that the responsible authorities can handle the situation and prevent violence.
Źródło:
World Scientific News; 2018, 113; 218-225
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
PREDICT project: PREparing for the Domino effect In Crisis siTuations
Autorzy:
Barbarin, B.
Dominique, S.
Powiązania:
https://bibliotekanauki.pl/articles/2069296.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
predictive tool
decision support system
critical infrastructure
modelling
Opis:
The PREDICT project aims at delivering a comprehensive solution (PREDICT Suite) for dealing with cascading effects in multi-sectorial crisis situations covering aspects of critical infrastructures. The PREDICT solution based on the three following pillars: methodologies, models and software tools, will increase the awareness and understanding of cascading effects in crisis situations. Two types of tools that will be coupled together are being developed: a decision support system and a foresight and prediction tool. Three test cases are being elaborated in three different location across Europe to validate the PREDICT suite. The decision makers will benefit from the PREDICT Suite which will improve their capability to respond and enhancing their preparedness on domino effects.
Źródło:
Journal of Polish Safety and Reliability Association; 2015, 6, 3; 9--14
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid position control technique of induction motor drive
Autorzy:
Júnior, A. B. S.
Diniz, E. C. de
Honório, D. A.
Barreto, L. H. S. C.
Reis, L. L. N. dos
Powiązania:
https://bibliotekanauki.pl/articles/206685.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
vector control
predictive control
hybrid control
fuzzy logic
Opis:
This paper presents the study and implementation of a new vector control strategy using a hybrid control technique applied to the mechanical position loop aiming to obtain a system that acts in the fractional horsepower motor driver running at near zero frequency. For this purpose, some control techniques are employed to check which one has the best performance regarding this type of application. The use of three control techniques is considered: the Proportional-Integral-Derivative (PID) controller with fixed gain; the Generalized Predictive Control (GPC) controller; and a hybrid controller. The last one behaves as both PID and GPC using fuzzy logic in order to achieve improved system performance. Simulation and experimental results are shown and discussed to demonstrate the merits of the proposed approach.
Źródło:
Control and Cybernetics; 2013, 42, 4; 754-772
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorytm regulacji DMC z pomiarem wartości wielkości sterującej
DMC Control Algorithm with Control Signal
Autorzy:
Porzeziński, M.
Powiązania:
https://bibliotekanauki.pl/articles/152004.pdf
Data publikacji:
2003
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
regulacja predykcyjna
algorytm DMC
predictive control
DMC algorithm
Opis:
W artykule zaprezentowano prostą modyfikację algorytmu regulacji DMC (Dynamic Matrix Control). Podlega ona na uwzględnieniu w regulatorze rzeczywistej wartości sygnału sterującego bezpośrednio oddziaływujacego na obiekt. Przedstawiono specyficzne właściwości zmodyfikowanego algorytmu oraz obszar jego potencjalnych zastosowań.
In the article a simple modification of DMC control algorithm (Dynamic Matrix Control) is described. The modification is based on using a controller a real value of control signal directly affecting the plant. Special properties of modified algorithm and it`s possible application area are presented.
Źródło:
Pomiary Automatyka Kontrola; 2003, R. 49, nr 12, 12; 32-33
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Utrzymanie predykcyjne w transporcie kolejowym
Predictive maintenance in railway transportation
Autorzy:
Kornaszewski, M.
Kałuża, S.
Powiązania:
https://bibliotekanauki.pl/articles/316593.pdf
Data publikacji:
2017
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
transport kolejowy
utrzymanie predykcyjne
railway transport
predictive maintenance
Opis:
W artykule omówione zostało nowoczesne zarządzanie strategią utrzymania pojazdów kolejowych. Przedstawiono główne założenie idei predykcyjnego utrzymania, a także możliwość jego zastosowania w dziedzinie transportu kolejowego.
Paper discussed the modern management of maintenance strategies for rail vehicles. It presents the main assumption of the idea of predictive maintenance and possibility of its application in the field of railway transportation.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2017, 18, 6; 1208-1210, CD
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A comparision of model and signal based condition monitoring and mode separation for predictive maintenance of feed drives
Autorzy:
Maier, D.
Heisel, U.
Powiązania:
https://bibliotekanauki.pl/articles/100055.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
mode separation
condition monitoring
ball screw drive
predictive maintenance
Opis:
Modern production strategies increase the demand for closer monitoring of the machine's condition. Especially wear affects its condition. This paper deals with the methodology of condition monitoring that can be based on different sources of data such as controller NC CNC and additional sensors. Two main methods for assessment are signal analysis based exclusively on measurement data and a model based method The latter is based on comparing the simulation of the objects behaviour with the acquired data. Ball screw drives are key elements of machine tools. They considerably contribute to the machine's performance. The paper compares two signal-based wear inducing characteristics and discusses the results. Afterwards a model-based approach is discussed.
Źródło:
Journal of Machine Engineering; 2011, 11, 4; 138-151
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Prevention of Landslides Using the Analytic Hierarchy Process (AHP) in a Geographic Information System (GIS) Environment in the Province of Larache, Morocco
Autorzy:
El Hamdouni, Ikram
Ait Brahim, Lahsen
El Mahsani, Abderahman
Abdelouafi, Abdellah
Powiązania:
https://bibliotekanauki.pl/articles/2055772.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
landslides
heuristic approach
analytic hierarchy process (AHP)
predictive parameters
Opis:
Landslides are one of the natural hazards that many countries around the world are facing. In Morocco, the Rif regions are the most affected by these phenomena. Each year they cause enormous damage to the road network and infrastructure, especially in our study region, the province of Larache. The study region is subject to several opening up and road construction projects, which is why it is necessary to predict and identify the most vulnerable areas beforehand, in order to propose measures and techniques which are adequate for protection and reinforcement. The main goal of this study is to develop a susceptibility map to ground movements using a multi-criteria spatial assessment approach, and in order to reduce subjectivity, we have used a method for analyzing such complex decisions, which is the analytic hierarchy process (AHP) implemented in the geographic information system (GIS). Seven factors have been considered as conditioning factors in the occurrence of landslides, which are: lithology, fracturing density, slope, aspect, land use, density of the hydrographic network, and altitude. To verify the results obtained, we performed a correlation analysis of ground movements, already inventoried and verified in the field, with the susceptibility classes that were calculated. This analysis is accompanied by a statistical study.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 2; 77-93
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Generic algorithms for predictive refillment scheduling in SCM-systems of large retail companies
Autorzy:
TSEPELEV, D.
SALEH, HADI
Powiązania:
https://bibliotekanauki.pl/articles/457302.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Rzeszowski
Tematy:
supply chain management
refillment planning
predictive refillment scheduling algorithm
Opis:
The article contains a description of generic predictive refillment scheduling algorithm.
Źródło:
Edukacja-Technika-Informatyka; 2016, 7, 2; 245-248
2080-9069
Pojawia się w:
Edukacja-Technika-Informatyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS
Autorzy:
Misztal, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/655797.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
classifier performance
predictive ability
ROC curve
reclassification
decision curve
Opis:
Traditional measures for assessing the performance of classification models for binary outcomes are the ROC curve and the area under the ROC curve (AUC). Reclassification tables (Cook, 2008), net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (Pencina et al., 2008) or decision – analytic measures with decision curve analysis (Vickers & Elkin, 2006) have been recently proposed for evaluating the predictive ability of classifiers. This paper analyzes the measures mentioned above with some credit taking application.  
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2014, 3, 302
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rule based networks : an efficient and interpretable representation of computational models
Autorzy:
Liu, H.
Gegov, A.
Cocea, M.
Powiązania:
https://bibliotekanauki.pl/articles/91698.pdf
Data publikacji:
2017
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
rule based networks
knowledge discovery
predictive modelling
rule representation
Opis:
Due to the vast and rapid increase in the size of data, data mining has been an increasingly important tool for the purpose of knowledge discovery to prevent the presence of rich data but poor knowledge. In this context, machine learning can be seen as a powerful approach to achieve intelligent data mining. In practice, machine learning is also an intelligent approach for predictive modelling. Rule learning methods, a special type of machine learning methods, can be used to build a rule based system as a special type of expert systems for both knowledge discovery and predictive modelling. A rule based system may be represented through different structures. The techniques for representing rules are known as rule representation, which is significant for knowledge discovery in relation to the interpretability of the model, as well as for predictive modelling with regard to efficiency in predicting unseen instances. This paper justifies the significance of rule representation and presents several existing representation techniques. Two types of novel networked topologies for rule representation are developed against existing techniques. This paper also includes complexity analysis of the networked topologies in order to show their advantages comparing with the existing techniques in terms of model interpretability and computational efficiency.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 2; 111-123
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evacuation by leader-follower model with bounded confidence and predictive mechanisms
Autorzy:
Almeida, Ricardo
Girejko, Ewa
Machado, Luis
Malinowska, Agnieszka B.
Martins, Natália
Powiązania:
https://bibliotekanauki.pl/articles/1845516.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multi-agent systems
emergency
model predictive control
bounded confidence
Opis:
This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path. The proposed evacuation algorithm is based on Model Predictive Control (MPC) that uses the current and the past information of the system to predict future agents’ behaviors. It can be observed that, with MPC method, the leader-following consensus is obtained faster in comparison to the conventional optimal control technique. The effectiveness of the developed MPC evacuation algorithm with respect to different parameters and different time domains is illustrated by numerical examples.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 629-644
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evacuation by leader-follower model with bounded confidence and predictive mechanisms
Autorzy:
Almeida, Ricardo
Girejko, Ewa
Machado, Luis
Malinowska, Agnieszka B.
Martins, Natália
Powiązania:
https://bibliotekanauki.pl/articles/1845527.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multi-agent systems
emergency
model predictive control
bounded confidence
Opis:
This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path. The proposed evacuation algorithm is based on Model Predictive Control (MPC) that uses the current and the past information of the system to predict future agents’ behaviors. It can be observed that, with MPC method, the leader-following consensus is obtained faster in comparison to the conventional optimal control technique. The effectiveness of the developed MPC evacuation algorithm with respect to different parameters and different time domains is illustrated by numerical examples.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 629-644
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Investigating an outbreak of non-specific building-related symptoms in workers of a general hospital
Autorzy:
Gómez-Acebo, Inés
Dierssen-Sotos, Trinidad
Pérez-Belmonte, Elena
Llorca, Javier
Powiązania:
https://bibliotekanauki.pl/articles/2179130.pdf
Data publikacji:
2013-08-01
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
sick building syndrome
cluster analysis
healthcare workers
Predictive Model
Opis:
Objective:To obtain a case definition and to describe variables associated with a cluster of unspecific symptoms in healthcare workers (HCW) in a hospital building. Materials and Methods: A cross-sectional study was performed. All people working at the Residencia Cantabria building (a 200-bed building belonging to University Hospital Marqués de Valdecilla) in June 2009 were invited to complete a self-administered questionnaire, including questions on demographic data, working place and shift, working conditions and current symptoms. A cluster analysis was developed to obtain the case definition. The strength of the association between the studied variables and accomplishing the case definition was measured using odds ratios (OR) with the 95% confidence interval (CI). Multiple logistic regression was used to obtain a predictive model; its general validity was estimated with Receiver Operating Curves (ROC) and their Area Under the Curve (AUC). Results: 357 completed questionnaires were obtained. The case was defined as having at least 5 symptoms out of the eleven included. Not being ascribed to a specific shift was the strongest protective variable related with "being a case" (OR = 0.30; 95% CI: 0.17-0.54), whereas the personal antecedent of distal pain or inflammation in arms or legs was the main risk factor (OR = 4.33, 95% CI: 2.75-6.82). A six-variable predictive model has AUC equaling to 0.7378. Conclusions: A disease associated with the indoor environment quality in a hospital was characterized. A multivariate score was drafted for identifying HCW with higher risk of developing the disease in order to apply administrative prevention measures.
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2013, 26, 4; 563-571
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Finite set model predictive speed control of induction motor with long horizon
Autorzy:
Wróbel, K.
Powiązania:
https://bibliotekanauki.pl/articles/1193210.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
finite control set
predictive control
induction motor
speed control
Opis:
This paper presents predictive speed control of induction motor. The structure with finite control set and long prediction horizon is proposed. In methods with finite set of solutions there is assumed the use of signals that can be obtained in inverter only. Long prediction horizons allow better performance of predictive control structures to be achieved. In this case, long prediction horizon refers to systems with more than one prediction step. The weighting factors determine the properties of control structure via an optimization method using genetic algorithms. The results of simulation studies has been presented.
Źródło:
Power Electronics and Drives; 2016, 1, 36/1; 117-126
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The role of comprehensive income in predicting banks? future earnings based on the practice of banks listed on the Warsaw Stock Exchange
Autorzy:
Sajnóg, Artur
Powiązania:
https://bibliotekanauki.pl/articles/1833826.pdf
Data publikacji:
2017-09-30
Wydawca:
Instytut Badań Gospodarczych
Tematy:
comprehensive income
net income
financial reporting
predictive power
banks
Opis:
Research background: In the economic literature there are many arguments presented by critical supporters and opponents of measuring and reporting comprehensive income. There is a justified need to examine the relevance and usefulness of comprehensive income, especially the predictive power of comprehensive in-come for forecasting future earnings. It may be assumed that the comprehensive income has a better predictive power for future bank performance than net income, because this measure includes many elements, which were previously presented in the statement of changes in equity. Purpose of the article: The major subject of the theoretical-empirical study presented in this paper is the evaluation of the usefulness of comprehensive income for predicting banks? future earnings. Realization of the fundamental objective of this paper was centered around the main research hypothesis, stating that in economic practice of banks listed on the Warsaw Stock Exchange it can be assumed that there is a positive predictive power of financial result in forecasting financial standing of these entities. Methods: The research comprised bank joint-stock companies listed on the Warsaw Stock Exchange (qualified on 15.09.2016). Empirical data for the study was obtained from the quarterly financial statements (the period from 2009 to 2015) from EMIS. The problem was realized in two analytical dimensions: absolute dimension financial results, and a relative dimension (return ratios). The research method was the regression analysis conducted by means of Spearman?s rank correlation coefficient and by two regression models in two versions. Findings & value added: The research showed that the analyzed bank companies were characterized by a diversity usefulness of comprehensive income for predicting banks? future earnings. Nevertheless, it must be stressed that the calculated Spearman?s rank correlation coefficients confirm in most instances a positive character of dependence between the comprehensive income and future return ratios. The results of the estimation of econometric models shows the positive association of comprehensive income with future profitability of banks.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2017, 12, 3
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Examination of Seasonal Volatility in HICP for Baltic Region Countries: Non-Parametric Test versus Forecasting Experiment
Autorzy:
Lenart, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/2076445.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
HICP
seasonal volatility
exponential smoothing
nowcasting
predictive distribution
logscore
Opis:
The aim of this paper is to examine the problem of existing seasonal volatility in total and disaggregated HICP for Baltic Region countries (Denmark, Estonia, Latvia, Finland, Germany, Lithuania, Poland and Sweden). Using nonparametric tests, we found that in the case of m-o-m prices, including fruit, vegetables, and total HICP, the homogeneity of variance during seasons is rejected. Based on these findings, we propose an exponential smoothing model with periodic variance of error terms that capture the repetitive seasonal variation (in conditional or unconditional second moments). In a pseudo-real data experiment, the short-term forecasts (nowcasting) for the considered components of inflation were determined using different specifications of considered models. The forecasting performance of the models was measured using one of the scoring rules for probabilistic forecasts called logarithmic score. We found instead that while the periodic phenomenon in variance was statistically significant, the models with a periodic phenomenon in variance of error terms do not significantly improve forecasting performance in disaggregated cases and in the case of total HICP. The simpler models with constant variance of error term have comparative forecasting (nowcasting) performance over the alternative model
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2017, 1; 29-67
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Double Layered Priority based Gray Wolf Algorithm (PrGWO-SK) for safety management in IoT network through anomaly detection
Autorzy:
Agrawal, Akhileshwar Prasad
Singh, Nanhay
Powiązania:
https://bibliotekanauki.pl/articles/2200943.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
Gray Wolf Optimizer
anomaly detection
feature selection
predictive maintenance
Opis:
For mitigating and managing risk failures due to Internet of Things (IoT) attacks, many Machine Learning (ML) and Deep Learning (DL) solutions have been used to detect attacks but mostly suffer from the problem of high dimensionality. The problem is even more acute for resource starved IoT nodes to work with high dimension data. Motivated by this problem, in the present work a priority based Gray Wolf Optimizer is proposed for effectively reducing the input feature vector of the dataset. At each iteration all the wolves leverage the relative importance of their leader wolves’ position vector for updating their own positions. Also, a new inclusive fitness function is hereby proposed which incorporates all the important quality metrics along with the accuracy measure. In a first, SVM is used to initialize the proposed PrGWO population and kNN is used as the fitness wrapper technique. The proposed approach is tested on NSL-KDD, DS2OS and BoTIoT datasets and the best accuracies are found to be 99.60%, 99.71% and 99.97% with number of features as 12,6 and 9 respectively which are better than most of the existing algorithms.
Źródło:
Eksploatacja i Niezawodność; 2022, 24, 4; 641--654
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian Inference for State Space Model with Panel Data
Autorzy:
Pandey, Ranjita
Chaturvedi, Anoop
Powiązania:
https://bibliotekanauki.pl/articles/466044.pdf
Data publikacji:
2016
Wydawca:
Główny Urząd Statystyczny
Tematy:
Bayesian analysis
Gibbs sampler
conditional posterior densities
predictive distribution
Opis:
The present work explores panel data set-up in a Bayesian state space model. The conditional posterior densities of parameters are utilized to determine the marginal posterior densities using the Gibbs sampler. An efficient one step ahead predictive density mechanism is developed to further the state of art in prediction-based decision making.
Źródło:
Statistics in Transition new series; 2016, 17, 2; 211-220
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive current control for permanent magnet synchronous motor based on internal model control observer
Autorzy:
Tang, Min'at
Wang, Chenyu
Luo, Yinhang
Powiązania:
https://bibliotekanauki.pl/articles/2086720.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
internal model control observer
MPC
PMSM
predictive current control
Opis:
The model predictive current control (MPCC) of the permanent magnet synchronous motor (PMSM) is highly dependent on motor parameters, and a parameter mismatch will cause the system performance degradation. Therefore, a strategy based on an internal model control (IMC) observer is proposed to correct the mismatch parameters. Firstly, based on the MPCC strategy of the PMSM, according to the dynamic model of the PMSM in a rotating orthogonal coordinate system, -axis and -axis current IMC observers are designed, and the stability derivation is carried out. It is proved that the observer can estimate -axis and -axis disturbance components caused by a parameter mismatch without static error. Then, the estimated disturbance component is compensated for by the reference voltage prediction expression. Finally, the effectiveness of the proposed strategy is verified in two different conditions. The experimental results show that the proposed control strategy can effectively compensate for the parameter mismatch disturbance in MPCC for PMSM, improve the dynamic and static performance of the system, and improve the robustness of the system. voltage prediction expression. Finally, the effectiveness of the proposed strategy is verified in two different conditions. The experimental results show that the proposed control strategy can effectively compensate for the parameter mismatch disturbance in MPCC for PMSM, improve the dynamic and static performance of the system, and improve the robustness of the system.
Źródło:
Archives of Electrical Engineering; 2022, 71, 2; 343--362
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effectiveness of Dynamic Matrix Control algorithm with Laguerre functions
Autorzy:
Tatjewski, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/2083461.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
process control
model predictive control
DMC algorithm
Laguerre functions
Opis:
The paper is concerned with the presentation and analysis of the Dynamic Matrix Control (DMC) model predictive control algorithm with the representation of the process input trajectories by parametrised sums of Laguerre functions. First the formulation of the DMCL (DMC with Laguerre functions) algorithm is presented. The algorithm differs from the standard DMC one in the formulation of the decision variables of the optimization problem - coefficients of approximations by the Laguerre functions instead of control input values are these variables. Then the DMCL algorithm is applied to two multivariable benchmark problems to investigate properties of the algorithm and to provide a concise comparison with the standard DMC one. The problems with difficult dynamics are selected, which usually leads to longer prediction and control horizons. Benefits from using Laguerre functions were shown, especially evident for smaller sampling intervals.
Źródło:
Archives of Control Sciences; 2021, 31, 4; 795-814
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of predictive control for manipulator mounted on a satellite
Autorzy:
Rybus, T.
Seweryn, K.
Sąsiadek, J. Z.
Powiązania:
https://bibliotekanauki.pl/articles/229912.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
space robotics
predictive control
trajectory optimization
free-floating manipulator
Opis:
Specific conditions of on-orbit environment are taken into account in the design of all devices intended to be used in space. Despite this fact malfunctions of satellites occur and sometimes lead to shortening of the satellite operational lifetime. It is considered to use unmanned servicing satellite, that could perform repairs of other satellites. Such satellites equipped with a manipulator, could be used to capture and remove from orbit large space debris. The critical part of planned missions is the capture manoeuvre. In this paper a concept of the control system for the manipulator mounted on the satellite is presented. This control system is composed of the trajectory planning module and model predictive controller (the latter is responsible for ensuring precise realization of the planned trajectory). Numerical simulations performed for the simplified planar case with a 2 DoF manipulator show that the results obtained with the predictive control are better than the results obtained with adaptive control method.
Źródło:
Archives of Control Sciences; 2018, 28, 1; 105-118
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A computationally efficient stable dual-mode type nonlinear predictive control algorithm
Autorzy:
Ławryńczuk, M.
Tadej, W.
Powiązania:
https://bibliotekanauki.pl/articles/971003.pdf
Data publikacji:
2008
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
linearyzacja
optymalizacja
stabilność
nonlinear model predictive control
dual-mode model predictive control
process control
linearisation
optimisation
quadratic programming
stability
constraints
terminal set
Opis:
This paper describes a computationally efficient (sub-optimal) nonlinear predictive control algorithm. The algorithm uses a modified dual-mode approach which guarantees closed-loop stability. In order to reduce the computational burden, instead of online nonlinear optimisation used in the classical dual-mode control scheme, a nonlinear model of the plant is linearised on-line and a quadratic programming problem is solved. Calculation of the terminal set and implementation steps of the algorithm are detailed, especially for input-output models, which are widely used in practice.
Źródło:
Control and Cybernetics; 2008, 37, 1; 99-132
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie regulatora typu MPC do sterowania procesem suszenia konwekcyjnego
Using of the MPC type controller for convection rying process control
Autorzy:
Tomkiewicz, D.
Powiązania:
https://bibliotekanauki.pl/articles/290820.pdf
Data publikacji:
2008
Wydawca:
Polskie Towarzystwo Inżynierii Rolniczej
Tematy:
wilgotność
ziarno
sterowanie adaptacyjne
suszenie
identyfikacja
regulator MPC
Model Predictive Control
grain
adaptive control
drying
identification
humidity
MPC controller
model predictive control
Opis:
W artykule zostały zaprezentowane badania związane z zastosowaniem regulatora MPC (Model Predictive Control) do sterowania procesem suszenia konwekcyjnego. Związek pomiędzy natężeniem wypływu materiału suszonego a wilgotnością zboża i innymi mierzonymi parametrami jest określony za pomocą hybrydowego modelu składającego się z równania różniczkowego cząstkowego i sieci neuronowej. Sieć neuronowa zapewnia uwzględnienie nieliniowości związanych z dynamiką procesu suszenia. Wagi sieci estymowane są w czasie rzeczywistym przy użyciu algorytmu rozszerzonego filtru Kalmana. Pozwala to na samoczynne adaptowanie się modelu do zmieniających się warunków procesu oraz rodzaju suszonego materiału.
The article presents studies on the application of the MPC (Model Predictive Control) controller to operate convection drying process. The relationship between outflow rate of dried material and corn moisture content and other measured parameters is determined using a hybrid model consisting of partial differential equation and a neural network. The neural network ensures taking into consideration nonlinearities connected with drying process dynamics. Network weights are estimated in real time using extended algorithm of the Kalman filter. This allows the model to adapt automatically to changing process conditions and dried material type.
Źródło:
Inżynieria Rolnicza; 2008, R. 12, nr 5(103), 5(103); 345-352
1429-7264
Pojawia się w:
Inżynieria Rolnicza
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using Geografic Information System (Gis) Tools to Determine the Settlement Preferences in the Upper Wisłoka Valley and to Demarcate Potential Archeological Sites on the Example of Early Medieval Sites
Autorzy:
Szmyd, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/498144.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Rzeszowski. Instytut Archeologii Uniwersytetu Rzeszowskiego. Muzeum Okręgowe w Rzeszowie
Tematy:
GIS
archaeological national heritage
predictive modelling
archaeology
Upper Wisłoka Valley
QGIS
SAGA
GRASS GIS
settlement archaeology
Geographic Information System
Archaeological Predictive Modelling
Opis:
The article’s objective is to conduct a diagnosis of early medieval settlement and to determine settlement clusters and preferences. The analysis results enable the preparation of maps depicting potential sites. The basic source for the data used in the analyses consists of information collected since the 1970s within the framework of the nationwide Polish Archaeological Record (PAR) project. The data have been subjected to analyses using Geographic Information System tools, such as QGIS, GRASS GIS or Saga GIS.
Źródło:
Analecta Archaeologica Ressoviensia; 2017, 12; 299-328
2084-4409
Pojawia się w:
Analecta Archaeologica Ressoviensia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Non‐linear model‐based predictive control for trajectory tracking and control effort minimization in a smartphone‐based quadrotor
Autorzy:
García, Luis
Rosero, Esteban
Powiązania:
https://bibliotekanauki.pl/articles/27314228.pdf
Data publikacji:
2022
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
quadrotor
model-based predictive control
smartphone
trajectory tracking
energy consumption
Opis:
In this paper, the design and implementation of a nonlinear model‐based predictive controller (NMPC) for predefined trajectory tracking and to minimize the control effort of a smartphone‐based quadrotor are developed. The optimal control actions are calculated in each iteration by means of an optimal control algorithm based on the non‐linear model of the quadrotor, considering some aerodynamic effects. Control algorithm implementation and simulation tests are executed on a smartphone using the CasADi framework. In addition, a technique for estimating the energy consumed based on control signals is presented. NMPC controller performance was compared with other works developed towards the con‐ trol of quadrotors, based on an H∞ controller and an LQI controller, and using three predefined trajectories, where the NMPC average tracking error was around 50% lower, and average estimated power and energy consumption slightly higher, with respect to the H∞ and LQI controllers.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 4; 13--18
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Direct predictive control of asynchronous machine torque using matrix converter
Autorzy:
Talavat, V.
Galvani, S.
Hajibeigy, M.
Powiązania:
https://bibliotekanauki.pl/articles/140834.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
asynchronous motor
direct predictive control of torque
direct matrix converter
Opis:
The matrix converter is a new generation of power electronic converters and is an alternative to back-to-back converters in applications that dimensions and weight are important. In this paper, a simple control algorithm for a three-phase asynchronous motor based on a direct torque control technique, which is fed through a three-phase direct matrix converter, is presented. For direct matrix converters, 27 switching modes are possible, which using the predictive control technique and for the different modes of the matrix converter, the motor behavior is estimated at the next sampling interval. Then the objective function is determined and the optimal possible mode is selected. Finally, the best switching mode is applied to the direct matrix converter. In order to evaluate the proposed method, simulation of the system in Matlab/Simulink software environment is performed. The results show the effectiveness of the proposed method.
Źródło:
Archives of Electrical Engineering; 2018, 67, 4; 773-788
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive control of the iron ore beneficiation process based on the hammerstein hybrid model
Autorzy:
Porkuian, Olga
Morkun, Vladimir
Morkun, Natalia
Powiązania:
https://bibliotekanauki.pl/articles/970606.pdf
Data publikacji:
2019
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
predictive control
iron ore
beneficiation
Hammerstein model
recursive-parallel model
Opis:
Non-linear, dynamic, non-stationary properties characterize objects of the iron ore beneficiation line. Therefore, for their approximation, it is advisable to use models of the Hammerstein class. As a result of comparing the three models of Hammerstein: simple, parallel and recursive-parallel, it was shown that the best result for identifying the considered processes of magnetic beneficiation of iron ore by the minimum error criterion was obtained using the Hammerstein recursive-parallel model. Hence, it is recommended for the identification of beneficiation production objects.
Źródło:
Acta Mechanica et Automatica; 2019, 13, 4; 262-270
1898-4088
2300-5319
Pojawia się w:
Acta Mechanica et Automatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid optimization process applied to tuning of Dynamic Matrix Control: atudy case with DC motor
Autorzy:
Carvalho, D. F. de
Ganzaroli, C. A.
Couto, L. do
Dias, R. N. H. M.
Calixto, W. P.
Powiązania:
https://bibliotekanauki.pl/articles/136171.pdf
Data publikacji:
2017
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
predictive control
deterministic optimization
heuristic optimization
hybrid optimization
DC motor
Opis:
This paper presents study about Dynamic Matrix Control (DMC) controller applied to speed control of DC motor. DMC controller parameters (prediction horizon, control horizon and damping rate of reference) are obtained through optimization methods employing heuristic, deterministic and hybrid strategies. The use of advanced control technique combined with using of optimization methods aims to achieve highly efficient control, reducing the transient state period and variations in steady state. These methods were applied on a simulation model in order to verify which one provides better control results.
Źródło:
Transactions on Environment and Electrical Engineering; 2017, 2, 2; 24-30
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving efficiency of data-intensive applications in goal-oriented adaptive computer systems
Poprawa wydajności aplikacji intensywnie wykorzystujących dane w zorientowanych na cele adaptacyjnych systemach komputerowych
Autorzy:
Młyński, M.
Rumik, P.
Powiązania:
https://bibliotekanauki.pl/articles/375636.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
performance management
workload management
dynamic resource allocation
predictive resource management
Opis:
An accurate use of the ability to steer computer efficiency is essential from the database point of view. Effective resource allocation is dependent on the performance indicators gathered from running systems. There must be an appropriate balance between accurate measurements, performance indicators and speed of the reallocation algorithms of the computing resources. The extended measurement of efficiency which the authors propose for applications is: the average number of queries within a time unit for particular groups of users. This paper presents an analysis of using the Workload Manager utility in the AIX 5L operating system to improve the efficiency of applications in the MySQL database environment, and an analysis of methods which allows the use of Workload Manager for steering efficiency dynamically.
Właściwe wykorzystanie zdolności do sterowania wydajnością systemu komputerowego jest niezbędna z punktu widzenia odbiorcy usług informatycznych. Efektywna alokacja zasobów obliczeniowych jest uzależniona od zebranych metryk wydajności. Należy, więc zachować właściwą równowagę pomiędzy dokładnością pomiarów, oraz szybkością algorytmów służących do realokacji zasobów obliczeniowych rozważanego systemu komputerowego. Proponowany przez autorów rozszerzony pomiar efektywności dla aplikacji to średnia liczba zapytań w jednostce czasu dla poszczególnych grup użytkowników. Taka metryka jest celem do zrealizowania w badanym systemie komputerowym. W artykule przedstawiono analizę wykorzystania zarządcy obciążeniem w systemie operacyjnym AIX 5L do poprawy wydajności aplikacji w środowisku bazy danych MySQL. Zaprezentowano również analizę metod, które pozwalają na korzystanie z zarządcy obciążeniem do dynamicznego sterowania wydajnością. Autorzy analizują zachowanie się systemów nieregularnych. Takie systemy charakteryzują się dość wysokim niedeterminizmem, objawia się to tym, że wielokrotne wykonanie pomiaru obciążenia przy jednakowych warunkach, może dać różne rezultaty. Takie zachowanie systemu jest powodowane magazynowaniem danych w podręcznych strukturach pamięci oraz działaniem systemowych algorytmów przydzielania i zwalniania zasobów informatycznych. Autorzy wykorzystują do badań samodzielnie przygotowane programy i procedury testujące. Program BaseAttack napisany został w języku Java, co sprawia, że testowane środowisko jest zbliżone do stosowanych obecnie w przedsiębiorstwach nowoczesnych systemów komputerowych. Testowane środowisko zostało podzielone na podklasy. Procesy systemowe o większym znaczeniu dla użytkownika są w innych klasach niż procesy mniej znaczące. Wyniki eksperymentów pokazują, że możliwe było zwiększenie wydajności wybranych podklas niemal dwukrotnie bez ingerencji w ustawienia wewnętrznych parametrów bazy danych.
Źródło:
Theoretical and Applied Informatics; 2011, 23, 1; 55-72
1896-5334
Pojawia się w:
Theoretical and Applied Informatics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust Predictive Control Using a Time-Varying Youla Parameter
Autorzy:
Van den Boom, T. J. J.
De Vries, R. A. J.
Powiązania:
https://bibliotekanauki.pl/articles/908311.pdf
Data publikacji:
1999
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
sterowanie predykcyjne
stabilność
niezawodność
predictive control
Youla parametrization
stability
robustness
Opis:
In this paper, a standard predictive control problem (SPCP) is formulated, which consists of one extended process description with a feedback uncertainty block. The most important finite horizon predictive control problems can be seen as special realizations of this SPCP. The SPCP and its solution are given in a state-space form. The objective of the controller is a nominal performance subject to signal constraints and robust stability with respect to a 1-norm bounded model uncertainty. The optimal controller consists of a feedforward part for nominal signal tracking and a feedback part for disturbance rejection and model error compensation. The feedforward part is realized by the predictive controller for the nominal disturbance-free case. The feedback part of the controller is realized by using the Youla parametrization. The Youla parameter is optimized at every sample time in a receding horizon setting to cope with signal constraints and (robust stability) constraints on the operator itself.
Źródło:
International Journal of Applied Mathematics and Computer Science; 1999, 9, 1; 101-128
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie metod doboru personelu oraz przekonania profesjonalistów na temat ich trafności prognostycznej
Use of Personnel Selection Methods and the Views of Professionals Regarding Their Predictive Validity
Autorzy:
Chirkowska-Smolak, Teresa
Grobelny, Jarosław
Powiązania:
https://bibliotekanauki.pl/articles/598496.pdf
Data publikacji:
2014-02-15
Wydawca:
Instytut Pracy i Spraw Socjalnych
Tematy:
metody doboru personelu
trafność prognostyczna
personnel selection methods predictive validity
Opis:
Celem prezentowanego w artykule badania była analiza wykorzystywania metod doboru personelu w polskich przedsiębiorstwach oraz przekonań profesjonalistów na temat trafności prognostycznej poszczególnych metod. W badaniu wzięło udział 182 osób, które zajmowały się w swoich przedsiębiorstwach rekrutacją i selekcją personelu (np. specjaliści HR, menedżerowie). Wyniki wskazują, że najpopularniejszą i często jedyną metodą doboru jest typowy wywiad (rozmowa kwalifikacyjna przeprowadzana w tradycyjny sposób). Inne stosowane metody to testy wiedzy, assessment centre oraz referencje. Najwyżej badani oceniali trafność próbek pracy, testów wiedzy specjalistycznej oraz typowego wywiadu. Porównanie tych ocen z wartością prognostyczną różnych metod prezentowaną w literaturze przedmiotu pokazuje, że badani (również profesjonaliści HR) często przeceniają nieskuteczne metody oraz nie doceniają tych, które są wysoce trafne, ale trudne w zastosowaniu.
The aim of the study presented in the article was the analysis of the application of personnel selection methods in Polish companies as well as the convictions of professionals regarding the predictive accuracy of individual methods. A total of 182 participants, who are responsible for recruitment and personnel selection (e.g., HR specialists and managers), were involved. Results indicate that the most popular and often only method of selection is the typical interview (a qualification interview conducted in a traditional manner). Other applied methods included knowledge tests, assessment center, and references. Those examined rate job samples, specialized knowledge tests, and typical interviews the most highly. A comparison of the assessment of the predictive value of various methods presented in topical literature demonstrates that those examined (including HR professionals) often overrate ineffective methods and do not appreciate those that are highly accurate, but difficult to apply.
Źródło:
Zarządzanie Zasobami Ludzkimi; 2014, 2014 1(96); 125-142
1641-0874
Pojawia się w:
Zarządzanie Zasobami Ludzkimi
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of adaptive multivariable Generalized Predictive Control to a HVAC system in real time
Autorzy:
Gulan, M.
Salaj, M.
Rohal’-Ilkiv, B
Powiązania:
https://bibliotekanauki.pl/articles/229355.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
predictive control
multivariable systems
constrained optimization
HVAC system
cascade control
Opis:
This paper presents the application of a Multivariable Generalized Predictive Controller (MGPC) for simultaneous temperature and humidity control in a Heating, Ventilating and Air- Conditioning (HVAC) system. The multivariable controlled process dynamics is modeled using a set of MISO models on-line identified from measured input-output process data. The controller synthesis is based on direct optimization of selected quadratic cost function with respect to amplitude and rate input constraints. Efficacy of the proposed adaptive MGPC algorithm is experimentally demonstrated on a laboratory-scale model of HVAC system. To control the airconditioning part of system the designed multivariable predictive controller is considered in a cascade dual-rate control scheme with PID auxiliary controllers.
Źródło:
Archives of Control Sciences; 2014, 24, 1; 67-84
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Off-line robustification of Generalized Predictive Control for uncertain systems
Autorzy:
Otmane, K. K.
Bali, N.
Nezli, L.
Powiązania:
https://bibliotekanauki.pl/articles/229918.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
generalized predictive control
polytopic uncertainties
relaxation
robust control
Youla parametrization
Opis:
An off-line methodology was proposed for enhancing the robustness of an initial Generalized Predictive Control (GPC) by convex optimization of the Youla parameter. However, this procedure of robustification is restricted with the case of the systems affected only by unstructured uncertainties. This paper proposes an extension of this method to the systems subjected to both unstructured and structured polytopic uncertainties. The main idea consists in adding supplementary constraints to the optimization problem which validates the Lipatov stability condition at each vertex of the polytope. These polytopic uncertainties impose a set of non convex quadratic constraints. The globally optimal solution is found by means of the GloptiPoly3 software. Therefore, this robustification provides stability robustness towards unstructured uncertainties for the nominal system, while guaranteeing stability properties over a specified polytopic domain of uncertainties. Finally, an illustrative example is given.
Źródło:
Archives of Control Sciences; 2014, 24, 4; 499-513
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The predictive power of comprehensive income in Polish companies listed on the Warsaw Stock Exchange
Wartość predykcyjna dochodu całkowitego w polskich spółkach notowanych na warszawskiej Giełdzie Papierów Wartościowych
Autorzy:
Bareja, Katarzyna
Giedroyć, Magdalena
Wrzosek, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/516037.pdf
Data publikacji:
2019
Wydawca:
Stowarzyszenie Księgowych w Polsce
Tematy:
comprehensive income
predictive power
relevance
dochód całkowity
wartość predykcyjna
relewantność
Opis:
Poland is historically classified within the Continental European model of accounting. The aim of the paper is to find the answer to the question of whether the Anglo-Saxon measure of financial results, which is comprehensive income, introduced into Polish reporting practice by the implementation of IFRS, has better predictive power than net income. The consequences of reporting comprehensive income are still a research gap in Poland. This article fills the gap regarding the predictive value of comprehensive income on the Polish market, and at the same time, it constitutes a contribution to global research in this area. The content presented in this article was developed using studies of the domestic and foreign literature. The methodology adopted in our study refers to the commonly used methodology of quantitative research on value relevance and the predictive value of comprehensive income. Our results indicate that net income and comprehensive income have the same predictive value for future performance. The research showed that neither other comprehensive income as a single indicator nor separate items of other comprehensive income has significant predictive power for future performance. The results of our research may help legislative bodies to make decisions on whether to extend the financial statement by requiring the statement of comprehensive income. In addition, our study presents, in a very broad way, the results of the latest research on NI and CI.
Rachunkowość w Polsce zaliczana jest do modelu kontynentalnego rachunkowości. Dlatego interesującym zagadnieniem wydaje się odpowiedź na pytanie, czy anglosaska miara dokonań, jaką jest dochód całkowity, wprowadzona do raportowania finansowania przez implementację MSSF, ma większą wartość prognostyczną niż wynik finansowy netto. Konsekwencje raportowania dochodu całkowitego w tym za-kresie nadal stanowią lukę badawczą w polskiej literaturze przedmiotu. Artykuł, uzupełniając lukę odno-śnie do wartości prognostycznej dochodu całkowitego raportowanego przez polskie podmioty notowane na rynku kapitałowym, stanowi równocześnie wkład do literatury światowej poświęconej temu tematowi. Artykuł został napisany po przestudiowaniu badań polskich i zagranicznych dotyczących dochodu całko-witego. Zastosowana metodologia wpisuje się w powszechnie stosowaną metodologię badań ilościowych z obszaru tzw. value relevance research. Nasze wyniki wskazują, że wynik finansowy netto oraz dochód całkowity mają taką samą siłę predykcyjną dla przyszłych dokonań. Badanie wykazało, że ani inne do-chody całkowite jako jedna wielkość ani inne dochody całkowite rozbite na elementy nie są istotne w pro-gnozowaniu przyszłych dokonań. Taka konkluzja może pomóc twórcom prawa bilansowego, w podjęciu decyzji, czy rozszerzać sprawozdawczość finansową w Polsce o sprawozdanie z dochodów całkowitych. Ponadto nasze badanie obszernie prezentuje wyniki najnowszych badań na temat zysku netto i dochodów całkowitych.
Źródło:
Zeszyty Teoretyczne Rachunkowości; 2019, 105(161); 113-136
1641-4381
2391-677X
Pojawia się w:
Zeszyty Teoretyczne Rachunkowości
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Supervisory optimal control using machine learning for building thermal comfort
Autorzy:
Abdufattokhov, Shokhjakhon
Mahamatov, Nurilla
Ibragimova, Kamila
Gulyamova, Dilfuza
Yuldashev, Dilyorjon
Powiązania:
https://bibliotekanauki.pl/articles/2204083.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
building thermal comfort
Gaussian processes
machine learning
model predictive control
Opis:
For the past few decades, control and building engineering communities have been focusing on thermal comfort as a key factor in designing sustainable building evaluation methods and tools. However, estimating the indoor air temperature of buildings is a complicated task due to the nonlinear and complex building dynamics characterised by the time-varying environment with disturbances. The primary focus of this paper is designing a predictive and probabilistic room temperature model of buildings using Gaussian processes (GPs) and incorporating it into model predictive control (MPC) to minimise energy consumption and provide thermal comfort satisfaction. The full probabilistic capabilities of GPs are exploited from two perspectives: the mean prediction is used for the room temperature model, while the uncertainty is involved in the MPC objective not to lose the desired performance and design a robust controller. We illustrated the potential of the proposed method in a numerical example with simulation results.
Źródło:
Operations Research and Decisions; 2022, 32, 4; 1--15
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new predictive filter for nonlinear alignment model of stationary MEMS inertial sensors
Autorzy:
Alhassan, Hassan Majed
Ghahremani, Nemat Allah
Powiązania:
https://bibliotekanauki.pl/articles/2052163.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
predictive filter
nonlinear alignment
model error
optimization
MEMS inertial sensors
Opis:
This paper proposes a new approach called the Predictive Kalman Filter (PKF) which predicts and compensates model errors of inertial sensors to improve the accuracy of static alignment without the use of external assistance. The uncertain model error is the main problem in the field as the Micro Electro Mechanical System (MEMS) inertial sensors have bias which change over time, and these errors are not all observable. The proposed filter determines an optimal equivalent model error by minimizing a quadratic penalty function without augmenting the system state space. The optimization procedure enables the filter to decrease both model uncertainty and external disturbances. The paper first presents the complete formulation of the proposed filter. Then, a nonlinear alignment model with a large misalignment angle is considered. Experimental results demonstrate that the new method improves the accuracy and rapidness of the alignment process as the convergence time is reduced from 550 s to 50 s, and the azimuth misalignment angle correctness is decreased from 52′′ ± 47′′ to 4′′ ± 0.02′′.
Źródło:
Metrology and Measurement Systems; 2021, 28, 4; 673-691
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian graphical model based optimal decision-making for fault diagnosis of critical induction motors in industrial applications
Autorzy:
Lakehal, A.
Powiązania:
https://bibliotekanauki.pl/articles/200978.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
maintenance plan
predictive actions
prioritization
critical asynchronous motor
Bayesian approach
Opis:
In an effort to achieve an optimal availability time of induction motors via fault probabilities reduction and improved prediction or diagnostic tools responsiveness, a conditional probabilistic approach was used. So, a Bayesian network (BN) has been developed in this paper. The objective will be to prioritize predictive and corrective maintenance actions based on the definition of the most probable fault elements and to see how they serve as a foundation for the decision framework. We have explored the causes of faults for an induction motor. The influence of different power ranges and the criticality of the electric induction motor are also discussed. With regard to the problem of induction motor faults monitoring and diagnostics, each technique developed in the literature concerns one or two faults. The model developed, through its unique structure, is valid for all faults and all situations. Application of the proposed approach to some machines shows promising results on the practical side. The model developed uses factual information (causes and effects) that is easy to identify, since it is best known to the operator. After that comes an investigation into the causal links and the definition of the a priori probabilities. The presented application of Bayesian networks is the first of its kind to predict faults of induction motors. Following the results of the inference obtained, prioritizations of the actions can be carried out.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 3; 467-476
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive current control of three-phase matrix converter with GaN HEMT bidirectional switches
Autorzy:
Nowaszewski, K.
Sikorski, A.
Powiązania:
https://bibliotekanauki.pl/articles/202007.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
predictive control
matrix converter
GaN HEMT
LC filter
bidirectional switch
Opis:
This paper presents an analysis and simulation studies of three-phase matrix converter with GaN HEMT bidirectional switches with predictive control of grid currents and converter output currents. Two methods of grid currents shaping are described and compared. The first method is based on calculations of instantaneous grid reactive power and the second one uses the active power of the load. The analyzed converter works with the resistive-inductive load, and from the grid side the LC filter with damping resistor has been used.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 5; 1077-1085
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control of complex dynamic nonlinear loading process for electromagnetic mill
Autorzy:
Ogonowski, Szymon
Bismor, Dariusz
Ogonowski, Zbigniew
Powiązania:
https://bibliotekanauki.pl/articles/229680.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
predictive control
pole placement
nonlinear dynamics
neural modelling
electromagnetic mill
Opis:
Electromagnetic mill installation for dry grinding represents a complex dynamical system that requires specially designed control system. The paper presents model-based predictive control which locates closed loop poles in arbitrary places. The controller performs as gains cheduling prototype where nonlinear model – artificial recurrent neural network, is parameterized with additional measurements and serves as a basis for local linear approximation. Application of such a concept to control electromagnetic mill load allows for stable performance of the installation and assures fulfilment of the product quality as well as the optimization of the energy consumption.
Źródło:
Archives of Control Sciences; 2020, 30, 3; 471-500
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Internet digital content pricing and subscribers control
Autorzy:
Mejjouali, Sobhi
Tadj, Lotfi
Powiązania:
https://bibliotekanauki.pl/articles/27315325.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
maximum principle
model predictive control
optimal control
web content pricing
Opis:
We use optimal control theory to determine the optimal rate of change in the subscription fee and the optimal ratio of ad space to the total web page space for a web content provider. An optimal solution is obtained using the maximum principle approach and the model predictive control approach. Numerical experiments show that it is preferable to use the first approach when the planning horizon is short and the second approach when the planning horizon is long.
Źródło:
Operations Research and Decisions; 2023, 33, 3; 59--73
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zmiany w zarządzaniu eksploatacją środków trwałych
Changes in asset operation management
Autorzy:
Szewczak, K.
Powiązania:
https://bibliotekanauki.pl/articles/256455.pdf
Data publikacji:
2012
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Technologii Eksploatacji - Państwowy Instytut Badawczy
Tematy:
eksploatacja
strategia obsługiwania
środki trwałe
TPM
Total Productive Maintenance
OEE
Overall Equipment Effectiveness
PM
preventive maintenance
PDM
Predictive Maintenance
operation
maintenance strategies
asset
predictive maintenance
Opis:
W turbulentnym otoczeniu konieczne jest stałe dokonywanie zmian w systemie zarządzania przedsiębiorstwem w celu dostosowania metod zarządzania do tych zmian. Dotyczy to także zmian w metodach zarządzania eksploatacją środków trwałych. W oparciu o doświadczenia japońskie i amerykańskie ukształtowała się teoria obsługiwania od obsługiwania prewencyjnego do "najlepszych praktyk" w ramach koncepcji biznesowej strategii zarządzania eksploatacją.
In turbulent environment it is necessary permanently to make changes in enterprise management system in order to adjust methods to the changes, what also causes changes in asset operation management. Based on Japanese and American experiences it was formed maintenance theory - from preventive maintenance to "best practices" - within the framework of business concept of operation management strategy.
Źródło:
Problemy Eksploatacji; 2012, 1; 109-118
1232-9312
Pojawia się w:
Problemy Eksploatacji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid feature selection and support vector machine framework for predicting maintenance failures
Autorzy:
Tarik, Mouna
Mniai, Ayoub
Jebari, Khalid
Powiązania:
https://bibliotekanauki.pl/articles/30148252.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
predictive maintenance
machine learning
features selection
SMOTE-Tomek
Support Vector Machine
Opis:
The main aim of predictive maintenance is to minimize downtime, failure risks and maintenance costs in manufacturing systems. Over the past few years, machine learning methods gained ground with diverse and successful applications in the area of predictive maintenance. This study shows that performing preprocessing techniques such as over¬sampling and feature selection for failure prediction is promising. For instance, to handle imbalanced data, the SMOTE-Tomek method is used. For feature selection, three different methods can be applied: Recursive Feature Elimination, Random Forest and Variance Threshold. The data considered in this paper for simulation are used in literature. They are used to measure aircraft engine sensors to predict engine failures, while the prediction algorithm used is a Support Vector Machine. The results show that classification accuracy can be significantly boosted by using the preprocessing techniques.
Źródło:
Applied Computer Science; 2023, 19, 2; 112-124
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of the predictive properties of Browns model in the extended domain of the internal parameter
Analiz prognoznykh svojjstv modeli Brauna v rasshirennojj oblasti vnutrennego parametra
Autorzy:
Romanenkov, Y.
Powiązania:
https://bibliotekanauki.pl/articles/77408.pdf
Data publikacji:
2015
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
predictive value
Brown's method
adaptive model
exponential smoothing
parametric synthesis
robustness
Źródło:
Motrol. Motoryzacja i Energetyka Rolnictwa; 2015, 17, 8
1730-8658
Pojawia się w:
Motrol. Motoryzacja i Energetyka Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive scheduling based on knowledge acquired from frequency of machine work disturbances
Autorzy:
Wosik, I.
Skołud, B.
Powiązania:
https://bibliotekanauki.pl/articles/100063.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
predictive scheduling
reactive scheduling
mathematical statistics
mean time to failure
MTTF
Opis:
During execution of a schedule some uncertain events may take place for example: resources may become unavailable, machine can be broken. Uncertainty should be included in the process of job scheduling. In the paper the problem to generate a workable, proactive baseline schedule under production constraints and unexpected event occurrence conditions is considered. The proactive baseline schedule protects against anticipated occurrences that may appear during the schedule execution. The machine breaking time is searched and the information is used to generate a robust schedule. In the paper the method of data acquisition basing on probability theory is proposed. The time of machine breaking is acquired from historical data of frequency of machine failure. A numerical example of building a hypothesis H:{the cumulative distribution function of the failure time is a normal distribution}, verification of the hypothesis, and predictive scheduling is presented. The normal distribution is proposed to describe failure time of machine as it gives consideration to a gradual wear process of the machine. The paper is proposition of improving simulation systems such as the Enterprise Dynamics or Taylor and scheduling systems such as Knowledge based Rescheduling System and Multi Objective Immune Scheduling Algorithm.
Źródło:
Journal of Machine Engineering; 2011, 11, No. 1-2; 54-67
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Effect of Different Decision-Making Methods on Multi-Objective Optimisation of Predictive Torque Control Strategy
Autorzy:
Gurel, Aycan
Zerdali, Emrah
Powiązania:
https://bibliotekanauki.pl/articles/1956004.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
predictive torque control
induction motor
multi-objective optimisation
decision-making method
Opis:
Today, a clear trend in electrification process has emerged in all areas to cope with carbon emissions. For this purpose, the widespread use of electric cars and wind energy conversion systems has increased the attention and importance of electric machines. To overcome limitations in mature control techniques, model predictive control (MPC) strategies have been proposed. Of these strategies, predictive torque control (PTC) has been well accepted in the control of electric machines. However, it suffers from the selection of weighting factors in the cost function. In this paper, the weighting factor associated with the flux error term is optimised by the non-dominated sorting genetic algorithm (NSGA-II) algorithm through torque and flux errors. The NSGA-II algorithm generates a set of optimal solutions called Pareto front solutions, and a possible solution must be selected from among the Pareto front solutions for use in the PTC strategy. Unlike the current literature, three decision-making methods are applied to the Pareto front solutions and the weighting factors selected by each method are tested under different operating conditions in terms of torque ripples, flux ripples, cur-rent harmonics and average switching frequencies. Finally, a decision-making method is recommended.
Źródło:
Power Electronics and Drives; 2021, 6, 41; 289-300
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Short and long forecast to implement predictive maintenance in a pulp industry
Autorzy:
Rodrigues, João Antunes
Farinha, José Torres
Mendes, Mateus
Mateus, Ricardo
Cardoso, António Marques
Powiązania:
https://bibliotekanauki.pl/articles/2057978.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
predictive maintenance
condition based maintenance
time series
artificial neural networks
forecasting
Opis:
Predictive maintenance is very important for effective prevention of failures in an industry. The present paper describes a case study where a wood chip pump system was analyzed, and a predictive model was proposed. An Ishikawa diagram and FMECA are used to identify possible causes for system failure. The Chip Wood has several sensors installed to monitor the working conditions and system state. The authors propose a variation of exponential smoothing technique for short time forecasting and an artificial neural network for long time forecasting. The algorithms were integrated into a dashboard for online condition monitoring, where the users are alerted when a variable is determined or predicted to get out of the expected range. Experimental results show prediction errors in general less than 10 %. The proposed technique may be of help in monitoring and maintenance of the asset, aiming at greater availability.
Źródło:
Eksploatacja i Niezawodność; 2022, 24, 1; 33--41
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust buffer allocation for scheduling of a project with predefined milestones
Autorzy:
Klimek, M.
Łebkowski, P.
Powiązania:
https://bibliotekanauki.pl/articles/375929.pdf
Data publikacji:
2009
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
resource-constrained project scheduling
predictive-reactive scheduling
robust buffer allocation
milestones
Opis:
The paper discusses the problem of robust buffer allocation for Resource- Constrained Project Scheduling Problem (RCPSP) with predefined milestones(1) , for which execution deadlines have been established. To solve the problem, an algorithm is proposed supporting insertion of unit time buffers, with the simultaneous maximisation of new metrics of arrangement robustness. The presented results of experimental research speak for usability of the solutions proposed. The effectiveness is studied with use of test tasks(2) included in the Project Scheduling Problem Library (PSPLIB) with additionally specified project milestones.
Źródło:
Decision Making in Manufacturing and Services; 2009, 3, 1-2; 49-72
1896-8325
2300-7087
Pojawia się w:
Decision Making in Manufacturing and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model predictive current control method for four-leg three-level converter operating as shunt active power filter and grid connected inverter
Autorzy:
Antoniewicz, K.
Rafal, K.
Powiązania:
https://bibliotekanauki.pl/articles/200265.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multilevel converter
model predictive control
MPC
power quality
konwerter
jakość energii
Opis:
This paper presents model predictive control (MPC) with a finite control states set (FS) for three-level four-leg flying capacitor (FCC) converter. Principles of control method are presented and flying capacitor voltages control method is discussed. Experimental results of converter operating as a shunt active power filter (SAPF) and grid connected inverter (GCI) are shown.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2017, 65, 5; 601-607
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multivariable predictive control considering time delay for load-frequency control in multi-area power systems
Autorzy:
Daniar, S.
Shiroei, M.
Aazami, R.
Powiązania:
https://bibliotekanauki.pl/articles/229223.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
load frequency control
model predictive control
time delay
generation rate constraint
Opis:
In this paper, a multivariable model based predictive control (MPC) is proposed for the solution of load frequency control (LFC) in a multi-area interconnected power system. The proposed controller is designed to consider time delay, generation rate constraint and multivariable nature of the LFC system, simultaneously. A new formulation of the MPC is presented to compensate time delay. The generation rate constraint is considered by employing a constrained MPC and economic allocation of the generation is further guaranteed by an innovative modification in the predictive control objective function. The effectiveness of proposed scheme is verified through time-based simulations on the standard 39-bus test system and the responses are then compared with the proportional-integral controller. The evaluation of the results reveals that the proposed control scheme offers satisfactory performance with fast responses.
Źródło:
Archives of Control Sciences; 2016, 26, 4; 527-549
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neuro-fuzzy control design of processes in chemical technologies
Autorzy:
Blahová, L.
Dvoran, J.
Kmeťová, J.
Powiązania:
https://bibliotekanauki.pl/articles/229832.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
neuro-fuzzy control
chemical reactor
neural predictive controller
ANFIS
laboratory process
Opis:
The paper presents design of neuro-fuzzy control and its application in chemical technologies. Our approach to neuro-fuzzy control is a combination of the neural predictive controller and the neuro-fuzzy controller (Adaptive Network-based Fuzzy Inference System - ANFIS). These controllers work in parallel. The output of ANFIS adjusts the output of the neural predictive controller to enhance the control performance. Such design of an intelligent control system is applied to control of the continuous stirred tank reactor and laboratory mixing process.
Źródło:
Archives of Control Sciences; 2012, 22, 2; 233-250
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Efficient MPC algorithms with variable trajectories of parameters weighting predicted control errors
Autorzy:
Nebeluk, Robert
Marusak, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/230077.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
nonlinear systems
nonlinear models
nonlinear control
simulation
optimization
Opis:
Model predictive control (MPC) algorithms brought increase of the control system performance in many applications thanks to relatively easily solving issues that are hard to solve without these algorithms. The paper is focused on investigating how to further improve the control system performance using a trajectory of parameters weighting predicted control errors in the performance function of the optimization problem. Different shapes of trajectories are proposed and their influence on control systems is tested. Additionally, experiments checking the influence of disturbances and of modeling uncertainty on control system performance are conducted. The case studies were done in control systems of three control plants: a linear non-minimumphase plant, a nonlinear polymerization reactor and a nonlinear thin film evaporator. Three types of MPC algorithms were used during research: linear DMC, nonlinear DMC with successive linearization (NDMC–SL), nonlinear DMC with nonlinear prediction and linearization (NDMC–NPL). Results of conducted experiments are presented in greater detail for the control system of the polymerization reactor, whereas for the other two control systems only the most interesting results are presented, for the sake of brevity. The experiments in the control system of the linear plant were done as preliminary experiments with the modified optimization problem. In the case of control system of the thin film evaporator the researched mechanisms were used in the control system of a MIMO plant showing possibilities of improving the control system performance.
Źródło:
Archives of Control Sciences; 2020, 30, 2; 325-363
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of Metallurgical Production in the Context of Industry 4.0
Autorzy:
Rudy, Vladimír
Malega, Peter
Daneshjo, Naqib
Kováč, Juraj
Powiązania:
https://bibliotekanauki.pl/articles/2204048.pdf
Data publikacji:
2022
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
predictive quality management
quality management
rolling mill
repair technologies
pickling line
Opis:
This article discusses a predictive quality management system that aims to eliminate repair technologies by exploiting the cognitive capability of manufacturing facilities in the manufacturing process. During production, deviations from the required quality parameters such as strip flatness, strip profile, and non-achievement of the required mechanical properties of dimensional variations occur, and their correction or correction requires repair technologies beyond the standard processes. The metallurgical process itself is energy and financially demanding. Repairing technologies represent added production costs and environmental burdens not only in the form of high-energy consumption but also in the production of harmful substances that have a negative impact on the environment. The production of solid dust impurities, the production of gaseous exhalations, high water consumption, environmental warming and water pollution, and the formation of slag ash are just a few negative aspects of metallurgical production. Steel producers make great efforts to achieve the required quality parameters and reduce the cost of repair technologies.
Źródło:
Advances in Science and Technology. Research Journal; 2022, 16, 5; 271--276
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis and prediction of leak detection in the low-pressure heat treatment of metal equipment
Autorzy:
Kłos, Sławomir
Patalas-Maliszewska, Justyna
Bazel, Michal
Powiązania:
https://bibliotekanauki.pl/articles/2200932.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
vacuum heat treatment
vacuum furnace leaks
predictive maintenance
artificial neural networks
Opis:
The low-pressure heat treatment of metals enables the continuous improvement of the mechanical and plastic properties of products, such as hardness, abrasion resistance, etc. A significant problem related to the operation of vacuum furnaces for heat treatment is that they become unsealed during operation, resulting from the degradation of seals or the thermal expansion of the construction materials. Therefore, research was undertaken to develop a prediction model for detecting leaks in vacuum furnaces, the use of which will reduce the risk of degradation in the charge being processed. Unique experimental studies were carried out to detect leakages in a vacuum pit furnace, simulated using the ENV 116 reference slot. As a consequence, a prediction model for the detection of leaks in vacuum furnaces- which are used in the heat treatment of metals- was designed, using an artificial neural network. (93% for MLP 15-10-1) was developed. The model was implemented in a predictive maintenance system, in a real production company, as an element in the monitoring of the operation of vacuum furnaces.
Źródło:
Eksploatacja i Niezawodność; 2022, 24, 4; 719--727
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Methods of controller synthesis using linear matrix inequalities and model predictive control
Autorzy:
Miller, A.
Rybczak, M.
Powiązania:
https://bibliotekanauki.pl/articles/135474.pdf
Data publikacji:
2015
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
controller synthesis
LMI
MPC
predictive controller
controller synthesis methods
optimization methods
Opis:
Controllers based on linear matrix inequalities (LMI) and model predictive control (MPC) both use optimization methods; there are however significant differences between them. In case of LMI controllers, optimization is carried out during controller synthesis, because LMI’s are an optimization tool that requires a linear programming problem being solved. With MPC controllers, however, optimization methods are not used as much in controller synthesis as in controller algorithm operation, to determine optimal control signal values based on the found minimum of the criteria function. A square function is used with boundaries from above and below, which requires a square programming problem, with boundaries for decision variables, being solved. In this paper controller synthesis methods using LMI and MPC are shown, with a focus on the steps that need to be performed, and a comparison of both methods.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2015, 43 (115); 22-28
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
State of the Art in Predictive Control of Wheeled Mobile Robots
Autorzy:
Harasim, P.
Trojnacki, M.
Powiązania:
https://bibliotekanauki.pl/articles/384731.pdf
Data publikacji:
2016
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
wheeled mobile robot
motion control
predictive control
model-based control
optimization
Opis:
The paper is concerned with the problem of tracking control of wheeled mobile robots (WMRs) using predictive control systems. Various kinematic structures of WMRs important from the point of view of motion control are discussed. A hierarchical approach to the problem of motion control of this kind of robots is presented. The problems of trajectory tracking and path following control of WMRs are briefly discussed. The methods of predictive control of WMRs are described in detail and the following aspects relevant to predictive control are considered: kinematic structures of robots, slip of wheels and its compensation, assumed constraints, methods of optimization of the objective function, problems of model nonlinearity, linearization and discretization, stability of the control system and use of the state observers.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2016, 10, 1; 34-42
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of Two Nonlinear Predictive Control Algorithms for Dissolved Oxygen Tracking Problem at WWTP
Autorzy:
Piotrowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/384859.pdf
Data publikacji:
2016
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
aeration
dissolved oxygen
wastewater treatment
mathematical modelling
nonlinear system
predictive control
Opis:
The wastewater treatment plant is classified as a complex system due to its nonlinear dynamics, large uncertainty in the disturbance inputs, multiple time scales in the internal process dynamics and multivariable structure. Aeration is an important and expensive activity that is carried out during wastewater treatment plant operation. A precise aeration control in biological processes for all the operating conditions is necessary in order to guarantee adequate biological conditions for microorganisms. Therefore, the most important is to operate the biological processes so that a minimal energy was consumed and minimal DO concentration demand was applied. The paper proposes a two advanced control systems to track the dissolved oxygen reference trajectory. A decentralized and multivariable nonlinear predictive control algorithms are designed and compared. Simulation tests for the case study wastewater treatment plant are presented.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2016, 10, 1; 8-16
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust fuzzy model predictive control of an overhead crane
Autorzy:
Smoczek, J.
Szpytko, J.
Powiązania:
https://bibliotekanauki.pl/articles/242944.pdf
Data publikacji:
2015
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
overhead crane
model predictive control
linear parameter varying model
fuzzy interpolation
Opis:
The method of controlling an overhead crane with respect to the variation of operating conditions and control constraints is developed using a model predictive control (MPC) and fuzzy interpolation applied in linear parameter varying (LPV) approach to crane dynamic modelling. The proposed control approach is based on the assumption that operating conditions vary within the known range of scheduling variables, and the parameters of a crane dynamic model can be interpolated by a quasi-linear fuzzy model designed through utilizing the P1-TS fuzzy theory. Hence, a crane dynamic is approximated through interpolation between a set of local linear models determined through identification experiments at the local operating points selected within the bounded intervals of scheduling variables. For the modelling assumptions, the control algorithm is developed based on a generalized predictive control (GPC) procedure taking into consideration the constraints on sway angle of a payload and control signal. Feasibility and applicability of the proposed control technique were confirmed during experiments carried out on a laboratory-scaled overhead crane. The results of experiments are presented and compared with performances of a fuzzy logic-based scheduling control scheme.
Źródło:
Journal of KONES; 2015, 22, 2; 205-212
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Self-Tuning Generalized Predictive Control With Input Constraints
Autorzy:
Królikowski, A.
Jerzy, D.
Powiązania:
https://bibliotekanauki.pl/articles/908330.pdf
Data publikacji:
2001
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
samostrojenie
sterowanie
generalized predictive control
constraints
self-tuning
ARIMAX/ARMAX systems
Opis:
The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAX/ARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke's algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal are of the rate, amplitude and energy types. A comparative simulation study of self-tuning control system behaviour is given with respect to the design parameters and constraints. The stability of a closed-loop control system is analyzed and the computational loads of both the methods are compared.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2001, 11, 2; 459-479
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effects of grid disturbances on current source rectifier controlled by FCS-MPC algorithm
Autorzy:
Godlewska, A.
Powiązania:
https://bibliotekanauki.pl/articles/1193668.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
active front end
current source rectifier
model predictive control
active damping
Opis:
Nowadays, the increasing number of non-linear loads influences the grid, causing grid voltage disturbances. These disturbances may be very dangerous for the equipment and can create faults in converter behaviour. However, the right control algorithm can improve the reliability of the work. For a current source rectifier, the finite control set model predictive control has been proposed. This method is very flexible because of the variety of the possible cost function forms. It has been examined under grid voltage disturbed by the higher harmonics and the voltage drop. Simulation results prove the ability to damp the distortions and to ensure the unity power factor. Summing up, the algorithm is a very good solution for use in applications such as battery charging, active power filtering and low-voltage direct current load feeding.
Źródło:
Power Electronics and Drives; 2018, 3, 38; 11-22
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Some aspects of the speech process
Autorzy:
Suleymanova, N. M.
Powiązania:
https://bibliotekanauki.pl/articles/1182526.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
derivation
external speech
internal speech
nominative aspect
predictive aspect
speech process
Opis:
This article investigates with linguistic aspects of speech process and its nominative aspects, including all units of language and speech while taking into consideration of intersections. As there number of unlike viewpoints the syntax of external speech is diverse from internal speech syntax, because the internal speech is for the speaker and external speech pointed at someone. Final outcomes and shortcoming of the research may lead to better investigation as whole.
Źródło:
World Scientific News; 2017, 69; 190-200
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application-oriented experiment design for model predictive control
Autorzy:
Jakowluk, W.
Świercz, M.
Powiązania:
https://bibliotekanauki.pl/articles/201147.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
optimal input design
convex optimization
application-oriented identification
Opis:
The model predictive control (MPC) technique has been widely applied in a large number of industrial plants. Optimal input design should guarantee acceptable model parameter estimates while still providing for low experimental effort. The goal of this work is to investigate an application-oriented identification experiment that satisfies the performance objectives of the implementation of the model. A- and D-optimal input signal design methods for a non-linear liquid two-tank model are presented in this paper. The excitation signal is obtained using a finite impulse response filter (FIR) with respect to the accepted application degradation and the power constraint. The MPC controller is then used to control the liquid levels of the double tank system subject to the reference trajectory. The MPC scheme is built based on the linearized and discretized model of the system to predict the system’s succeeding outputs with reference to the future input signal. The novelty of this model-based method consists in including the experiment cost in input design through the objective function. The proposed framework is illustrated by means of numerical examples, and simulation results are discussed.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 4; 883-891
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tax evasion in the EU countries following a predictive analysis and a forecast model for Slovakia
Autorzy:
Dobrovič, Ján
Rajnoha, Rastislav
Šuleř, Petr
Powiązania:
https://bibliotekanauki.pl/articles/19233707.pdf
Data publikacji:
2021
Wydawca:
Instytut Badań Gospodarczych
Tematy:
sustainable economic development
tax evasion
VAT gap
predictive statistical model
forecasting
Opis:
Research background: Tax evasion is an urgent challenge for governments, as reaching sufficient level of tax revenues enable adequate sustainable economic development. The motivation for the research was thus the identification of the situation in the EU countries.  Purpose of the article: The main research objective was to identify the extent of tax evasion in the EU countries, with a subsequent specific focus on the econometric predictive models and a forecast of their future development in the case of Slovakia as the poorest performing country of the V4 in this area.  Methods: The research was primarily based on testing selected statistical indicators in the field of tax evasions expressed on the basis of the VAT gap. The data for the research was obtained from the EUROSTAT database and the international system VIES for the period between 2000 and 2017. In addition to panel graphs, the research hypotheses were tested primarily using a cluster analysis, t-test, time series analysis, and an analysis of the time series trend with 4 basic models: linear trend, quadratic trend, growth curve model, and S-curve model. On the basis of the Mean Absolute Percentage Error (MAPE), the S-Curve model was selected as the determining model of predicting tax evasion.  Findings & value added: Based on the results of the cluster analysis, the EU countries were divided into five reference groups by the VAT gap value, using the VAT gap percentage share on the overall GDP value. The research also provides a unique methodological framework and a unique econometric model for predicting the future VAT gap in Slovakia as the poorest performing country of the V4 in this area, which is applicable to other V4 and EU countries. The research results also enable policy-makers in the EU countries and specifically also in Slovakia and other V4 countries to compare themselves explicitly with the reference countries of the EU in terms of tax evasion and subsequently adopt adequate measures to improve the effectiveness and performance in this field.
Źródło:
Oeconomia Copernicana; 2021, 12, 3; 701-728
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Combining predictive distributions of electricity prices : does minimizing the CRPS lead to optimal decisions in day-ahead bidding?
Autorzy:
Nitka, Weronika
Weron, Rafał
Powiązania:
https://bibliotekanauki.pl/articles/27315321.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
decision support
day-ahead electricity bidding
predictive distribution
combining forecast
CRPS learning
Opis:
Probabilistic price forecasting has recently gained attention in power trading because decisions based on such predictions can yield significantly higher profits than those made with point forecasts alone. At the same time, methods are being developed to combine predictive distributions, since no model is perfect and averaging generally improves forecasting performance. In this article, we address the question of whether using CRPS learning, a novel weighting technique minimizing the continuous ranked probability score (CRPS), leads to optimal decisions in day-ahead bidding. To this end, we conduct an empirical study using hourly day-ahead electricity prices from the German EPEX market. We find that increasing the diversity of an ensemble can have a positive impact on accuracy. At the same time, the higher computational cost of using CRPS learning compared to an equal-weighted aggregation of distributions is not offset by higher profits, despite significantly more accurate predictions.
Źródło:
Operations Research and Decisions; 2023, 33, 3; 105--118
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of UV-C Postharvest Disinfection on the Quality of Fresh-Cut 'Tommy Atkins' Mango
Autorzy:
Garzón-García, Alba Mery
Ruiz-Cruz, Saúl
Dussán-Sarria, Saúl
Hleap-Zapata, José Igor
Márquez-Ríos, Enrique
Del-Toro-Sánchez, Carmen Lizette
Tapia-Hernández, José Agustín
Canizales-Rodríguez, Dalila Fernanda
Ocaño-Higuera, Víctor Manuel
Powiązania:
https://bibliotekanauki.pl/articles/16538533.pdf
Data publikacji:
2023-02-16
Wydawca:
Instytut Rozrodu Zwierząt i Badań Żywności Polskiej Akademii Nauk w Olsztynie
Tematy:
minimal processing
surface color
native microorganisms
predictive microbiology
ultraviolet short wave irradiation
Opis:
Mango cv. ‘Tommy Atkins’ is a highly appreciated fruit for its organoleptic characteristics and its resistance to minimal processing. However, some operations as peeling and cutting can generate microbial contamination and loss of bioactive compounds. Ultraviolet short wave (UV-C) is an alternative technology for fresh-cut products that leads to microbial inactivation and the increase of beneficial compounds. The effect of a UV-C dose of 6 kJ/m2 was evaluated on quality attributes of fresh-cut 'Tommy Atkins' mango during days 0, 3, 6, 9, and 12 of storage (5°C, relative humidity: 85-90%), and compared with a positive control (conventional method by immersion in 10 mg/L sodium hypochlorite solution) and a negative control (without treatment). Physicochemical analysis (titratable acidity, pH, total soluble solid content, and firmness), superficial color evaluation, determinations of microbial counts, contents of total carotenoids, phenolics and flavonoids, and antioxidant capacity assays were performed. The results showed that UV-C treatment allowed to preserve microbial safety and superficial color of stored fresh-cut mango, and to increase the content of total carotenoids, which was 19.34 and 26.50 mg β-carotene/100 g fresh weight (FW) for control and UV-C treated sample at day 12 of storage, respectively. The DPPH• scavenging activity of the UV-C treated mango was also higher (0.60 mM TE/g FW) compared to control (0.27 mM TE/g FW) at the end of storage. However, UV-C treatment caused loss of firmness. Some native microorganisms of mango adapted to the stress caused by the treatments and the storage.
Źródło:
Polish Journal of Food and Nutrition Sciences; 2023, 73, 1; 39-49
1230-0322
2083-6007
Pojawia się w:
Polish Journal of Food and Nutrition Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Time–frequency Analysis of the EMG Digital Signals
Autorzy:
Kuniszyk-Jóźkowiak, W.
Jaszczuk, J.
Sacewicz, T.
Codello, I.
Powiązania:
https://bibliotekanauki.pl/articles/106250.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
time-frequency analysis
EMG signal
Fast Fourier Transform
predictive analytics
wavelet analysis
Opis:
In the article comparison of time-frequency spectra of EMG signals obtained by the following methods: Fast Fourier Transform, predictive analysis and wavelet analysis is presented. The EMG spectra of biceps and triceps while an adult man was flexing his arm were analysed. The advantages of the predictive analysis were shown as far as averaging of the spectra and determining the main maxima are concerned. The Continuous Wavelet Transform method was applied, which allows for the proper distribution of the scales, aiming at an accurate analysis and localisation of frequency maxima as well as the identification of impulses which are characteristic of such signals (bursts) in the scale of time. The modified Morlet wavelet was suggested as the mother wavelet. The wavelet analysis allows for the examination of the changes in the frequency spectrum in particular stages of the muscle contraction. Predictive analysis may also be very useful while smoothing and averaging the EMG signal spectrum in time.
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2012, 12, 2; 20-25
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model predictive direct power control of energy storage quasi-Z-source grid-connected inverter
Autorzy:
Tang, Min'an
Yang, Shangmei
Zhang, Kaiyue
Wang, Qianqian
Liu, Chenggang
Dong, Xuewang
Powiązania:
https://bibliotekanauki.pl/articles/2042769.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
quasi Z-Source
inverter
energy storage
power control
model predictive
space vector
Opis:
In order to overcome the shortcoming of large switching losses caused by variable switching frequency appears in the conventional finite control set model predictive control (FCS-MPC) algorithm, a model predictive direct power control (MP-DPC) for an energy storage quasi-Z-source inverter (ES-qZSI) is proposed. Firstly, the power prediction model of the ES-qZSI is established based on the instantaneous power theory. Then the average voltage vector in the coordinate system is optimized by the power cost function. Finally, the average voltage vector is used as the modulation signal, and the corresponding switching signal with fixed frequency is generated by the shoot-through segment space vector pulse width modulation (SVPWM) technology. The simulation results show that the ES-qZSI realizes six shoot-through actions per control cycle and achieves the constant frequency control of the system, which verifies the correctness of the proposed control strategy.
Źródło:
Archives of Electrical Engineering; 2022, 71, 1; 21-35
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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