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Wyświetlanie 1-15 z 60
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:
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:
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:
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:
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:
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:
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:
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:
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:
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
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