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Wyświetlanie 16-30 z 101
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:
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:
Model predictive control of four-leg three-level flying capacitor converter: influence of model parameter mismatch
Autorzy:
Antoniewicz, K.
Rafał, K.
Jasiński, M.
Powiązania:
https://bibliotekanauki.pl/articles/1193479.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
multilevel converter
current control
model predictive control
MPC
shunt active power filter
SAPF
Opis:
This paper presents a control method for a four-leg three-level flying capacitor converter (FCC) operating as a shunt active power filter (SAPF), based on model predictive control with finite number of control states (FS-MPC). Current control and capacitor voltage balancing are described. Influence of the mismatch of the inductive filter model parameters on the current control precision is analysed. Results are supported by the experimental waveforms obtained with a 10kVA set-up.
Źródło:
Power Electronics and Drives; 2018, 3, 38; 1-9
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive-SVM control method dedicated to an AC/DC converter with an LCL grid filter
Autorzy:
Dmitruk, K.
Powiązania:
https://bibliotekanauki.pl/articles/200760.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
three-phase voltage converter
model predictive control
space vector modulation
infinite control set
Opis:
This paper presents simulation and laboratory test results of an implementation of an infinite control set model predictive control into a three-phase AC/DC converter. The connection between the converter and electric grid is made through an LCL filter, which is characterized by a better reduction of grid current distortions and smaller (cheaper) components in comparison to an L-type filter. On the other hand, this type of filter can cause strong resonance at specific current harmonics, which is efficiently suppressed by the control strategy focusing on the strict control input filter capacitors voltage vector. The presented method links the benefits of using linear control methods based on a space vector modulator and the nonlinear ones, which result in excellent control performance in a steady state as well as in a transient state.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 5; 1049-1056
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on low frequency ripple suppression technology of inverter based on model prediction
Autorzy:
Liu, Haiyang
Chen, Yiwen
Luo, Sixu
Jiang, Jiahui
Jian, Haojun
Powiązania:
https://bibliotekanauki.pl/articles/24202730.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
boost type
low frequency ripple suppression
model predictive control
single stage inverter
Opis:
The low frequency ripple of the input side current of the single-phase inverter will reduce the efficiency of the power generation system and affect the overall performance of the system. Aiming at this problem, this paper proposes a two-modal modulation method and its MPC multi-loop composite control strategy on the circuit topology of a single-stage boost inverter with a buffer unit. The control strategy achieves the balance of active power on both sides of AC and DC by controlling the stable average value of the buffer capacitor voltage, and provides a current reference for inductance current of the DC input side. At the same time, the MPC controller uses the minimum inductor current error as the cost function to control inductor current to track its reference to achieve low frequency ripple suppression of the input current. In principle, it is expounded that the inverter using the proposed control strategy has better low frequency ripple suppression effect than the multi-loop PI control strategy, and the conclusion is proved by the simulation data. Finally, an experimental device of a single-stage boost inverter using MPC multi-loop composite control strategy is designed and fabricated, and the experimental results show that the proposed research scheme has good low frequency ripple suppression effect and strong adaptability to different types of loads.
Źródło:
Archives of Electrical Engineering; 2023, 72, 2; 443--460
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model Predictive Super-twisting sliding mode control for an autonomous surface vehicle
Autorzy:
Esfahani, Hossein Nejatbakhsh
Szlapczynski, Rafal
Powiązania:
https://bibliotekanauki.pl/articles/260526.pdf
Data publikacji:
2019
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
utonomous Surface Vehicle
Model Predictive Control
Sliding Mode Control
Super-Twisting Algorithm
Chattering Attenuation
Opis:
This paper presents a new robust Model Predictive Control (MPC) algorithm for trajectory tracking of an Autonomous Surface Vehicle (ASV) in presence of the time-varying external disturbances including winds, waves and ocean currents as well as dynamical uncertainties. For fulfilling the robustness property, a sliding mode control-based procedure for designing of MPC and a super-twisting term are adopted. The MPC algorithm has been known as an effective approach for the implementation simplicity and its fast dynamic response. The proposed hybrid controller has been implemented in MATLAB / Simulink environment. The results for the combined Model Predictive Super-Twisting Sliding Mode Control (MP-STSMC) algorithm have shown that it significantly outperforms conventional MPC algorithm in terms of the transient response, robustness and steady state response and presents an effective chattering attenuation in comparison with the Super-Twisting Sliding Mode Control (STSMC) algorithm.
Źródło:
Polish Maritime Research; 2019, 3; 163-171
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simple Technique of Initial Speed Identification for Speed-Sensorless Predictive Controlled Induction Motor Drive
Autorzy:
Stando, Dariusz
Kazmierkowski, Marian P.
Powiązania:
https://bibliotekanauki.pl/articles/1193851.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction motor
sensorless control
model predictive control
MRAS estimator
initial speed identification
restarting IM
Opis:
This article presents a simple technique of identifying the initial speed that allows for restarting a sensorless induction motor (IM) drive controlled by a model predictive flux control (MPFC). Initial speed identification is required because, according to the research, the applied current-model reference adaptive system (C-MRAS) can restart the IM after failure only if the error of the initial speed set in the estimator is < 25%. The proposed technique is based on short periods of flux generation for the certain initial speed and observation of the estimated torque respond. The direction of the estimated torque determines whether the real speed is higher or lower than the initial one set in the estimator. In two steps, the algorithm identifies the initial speed with an accuracy of 25%. This allows for a quick restart of the IM from any speed, eliminating the disadvantage of the sensorless drive control system with the C-MRAS speed estimator. The experimental results measured on a 50 kW drive which illustrates the operation and performances of the system are presented.
Źródło:
Power Electronics and Drives; 2020, 5, 40; 189-197
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Elman neural network for modeling and predictive control of delayed dynamic systems
Autorzy:
Wysocki, A.
Ławryńczuk, M.
Powiązania:
https://bibliotekanauki.pl/articles/229646.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
dynamic models
process control
model predictive control
neural networks
Elman neural network
delayed systems
Opis:
The objective of this paper is to present a modified structure and a training algorithm of the recurrent Elman neural network which makes it possible to explicitly take into account the time-delay of the process and a Model Predictive Control (MPC) algorithm for such a network. In MPC the predicted output trajectory is repeatedly linearized on-line along the future input trajectory, which leads to a quadratic optimization problem, nonlinear optimization is not necessary. A strongly nonlinear benchmark process (a simulated neutralization reactor) is considered to show advantages of the modified Elman neural network and the discussed MPC algorithm. The modified neural model is more precise and has a lower number of parameters in comparison with the classical Elman structure. The discussed MPC algorithm with on-line linearization gives similar trajectories as MPC with nonlinear optimization repeated at each sampling instant.
Źródło:
Archives of Control Sciences; 2016, 26, 1; 117-142
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Input data selection for identification of the incremental ship’s model
Autorzy:
Miller, A.
Powiązania:
https://bibliotekanauki.pl/articles/135488.pdf
Data publikacji:
2016
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
model identification
mathematical linear model
model for Model Predictive Control (MPC)
selection procedure
data
parameters
Opis:
The procedure of Linear Incremental Model (LIM) identification requires input and output signal deviations as opposed to their actual values. When considering a vessel as a plant, the sequence of input signals determines the traceability of the estimated LIM. The manual input signals selection procedure is a demanding and time consuming empirical procedure. In order to increase the speed of object identification and to eliminate input-output signal sequences which give unreliable data, an incremental linear model identification algorithm was developed and is presented. Moreover, the method of parameter selection for input signal pseudo-random sequences is described in this paper. Emphasis is placed on the practical aspect of astatic objects – ship’s LIM creation and input-output signal deviations selection method.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2016, 48 (120); 29-36
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust output feedback Model Predictive Control design
Autorzy:
Vesely, V.
Rosinova, D.
Powiązania:
https://bibliotekanauki.pl/articles/229853.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
robust control
parameter dependent quadratic stability
Lyapunov functional
polytopic system
decentralized control
Opis:
The paper addresses the problem of designing a robust output/state model predictive control for linear polytopic systems without constraints. The new robust BMI stability condition for given predictive and control horizon is derived which guarantees the parameter dependent quadratic stability and guaranteed cost.The proposed condition is appropriate for centralized and decentralized control design, as illustrated on example.
Źródło:
Archives of Control Sciences; 2010, 20, 3; 303-316
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model based predictive control of beam with magnetorheological fluid
Sterowanie predykcyjne drganiami belki z cieczą magnetoreologiczną
Autorzy:
Snamina, J.
Powiązania:
https://bibliotekanauki.pl/articles/368941.pdf
Data publikacji:
2011
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
drgania belki
ciecze magnetoreologiczne
sterowanie predykcyjne
beam vibrations
magnetorheological fluid
model predictive control
Opis:
In the work a model predictive control method was applied to control the beam vibrations. Model predictive control (MPC) is widely used as advanced control methodology. The considered beam consists of two outer layers made of aluminium and MR fluid layer in between. Activation of the MR fluid is realized by magnetic field. The analysis of strain and stress in three-layered beam were done. Then the equation of forced vibration of beam in the vicinity of the first resonances was derived. Based on this equation the simulation of MPC application was performed for the sinusoidal and random excitation.
W pracy zastosowano algorytm sterowania predykcyjnego przy wykorzystaniu modelu do redukcji drgań belki z cieczą magnetoreologiczną (MR). Rozważana belka składa się z dwóch zewnętrznych warstw wykonanych z aluminium oraz umieszczonej pomiędzy nimi warstwy cieczy MR. Zmiana własności cieczy MR następuje w wyniku wytworzenia przez elektromagnes pola magnetycznego obejmującego część belki. Przedstawiono analizę stanu odkształcenia i stanu naprężenia w poszczególnych warstwach belki. Wyprowadzono równania opisujące drgania w otoczeniu pierwszego rezonansu. Na podstawie zbudowanego modelu zaproponowano algorytm sterowania predykcyjnego, którego celem była redukcja drgań belki. Wykonano symulację drgań belki dla wymuszenia sinusoidalnego oraz stochastycznego.
Źródło:
Mechanics and Control; 2011, 30, 3; 164-169
2083-6759
2300-7079
Pojawia się w:
Mechanics and Control
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Online continuous-time adaptive predictive control of the technological glass conditioning process
Autorzy:
Drapała, Michał
Byrski, Witold
Powiązania:
https://bibliotekanauki.pl/articles/2175115.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
system identification
modulating functions method
model predictive control
continuous-time systems
glass forehearth
Opis:
Glass production has a great industrial importance and is associated with many technological challenges. Control related problems concern especially the last part of the process, so called glass conditioning. Molten glass is gradually cooled down in a long ceramic channels called forehearths during glass conditioning. The glass temperature in each zone of the forehearth should be precisely adjusted according to the assumed profile. Due to cross-couplings and unmeasured disturbances, traditional control systems based on PID controllers, often do not ensure sufficient control quality. This problem is the main motivation for the research presented in the paper. A Model Predictive Control algorithm is proposed for the analysed process. It is assumed the dynamic model for each zone of the forehearth is identified on-line with the Modulating Functions Method. These continuous-time linear models are subsequently used for two purposes: for the predictive controller tuning, measurable disturbances compensation and for a static set point optimisation. Proposed approach was tested using Partial Differential Equation model to simulate two adjacent zones of the forehearth. The experimental results proved that it can be successfully applied for the aforementioned model.
Źródło:
Archives of Control Sciences; 2022, 32, 4; 755--782
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model predictive control of multilevel cascaded converter with boosting capability – experimental results
Autorzy:
Wiatr, P.
Kryński, A.
Powiązania:
https://bibliotekanauki.pl/articles/200458.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
cascaded H-bridge
CHB
model predictive control
MPC
multilevel converters
mostek H
konwerter
Opis:
The main goal of this paper is to present a five-level converter with the feature of output voltage boosting capability. Thanks to its modular construction and single DC source usage, 5LCHB converter becomes an important alternative for two-level converters operating with DC-DC converters that use bulky inductors. Furthermore, model predictive control (MPC) method is presented, which allows for boosting output voltage of presented converter while providing three-phase load current control and flying capacitor voltage stabilization. The last section describes a 5kVA laboratory model of five-level hybrid converter interfacing RL load and shows experimental results confirming theoretical analysis derived in previous sections.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2017, 65, 5; 589-599
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Real-time implementation of multiple model based predictive control strategy to air/fuel ratio of a gasoline engine
Autorzy:
Wojnar, S
Polóni, T
Šimončič, P
Rohal’-Ilkiv, B
Honek, M
Csambál, J
Powiązania:
https://bibliotekanauki.pl/articles/229632.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
multiple models
air/fuel ratio
spark ignition engine
ARX models
Opis:
Growing safety, pollution and comfort requirements influence automotive industry ever more. The use of three-way catalysts in exhaust aftertreatment systems of combustion engines is essential in reducing engine emissions to levels demanded by environmental legislation. However, the key to the optimal catalytic conversion level is to keep the engine air/fuel ratio (AFR) at a desired level. Thus, for this purposes more and more sophisticated AFR control algorithms are intensively investigated and tested in the literature. The goal of this paper is to present for a case of a gasoline engine the model predictive AFR controller based on the multiple-model approach to the engine modeling. The idea is to identify the engine in particular working points and then to create a global engine's model using Sugeno fuzzy logic. Opposite to traditional control approaches which lose their quality beside steady state, it enables to work with satisfactory quality mainly in transient regimes. Presented results of the multiple-model predictive air/fuel ratio control are acquired from the first experimental real-time implementation on the VW Polo 1390 cm3 gasoline engine, at which the original electronic control unit (ECU) has been fully replaced by a dSpace prototyping system which execute the predictive controller. Required control performance has been proven and is presented in the paper.
Źródło:
Archives of Control Sciences; 2013, 23, 1; 93-106
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Efektywny obliczeniowo algorytm wielowymiarowej regulacji predykcyjnej dla modeli typu wejście-wyjście
A computationally efficient multivariable predictive control algorithm for input-output models
Autorzy:
Ławryńczuk, M.
Tatjewski, P.
Powiązania:
https://bibliotekanauki.pl/articles/154561.pdf
Data publikacji:
2003
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
regulacja predykcyjna
modele liniowe
metoda najmniejszych kwadratów
model predictive control
least squares method
Opis:
W pracy przedstawiono kompletne wyprowadzenie algorytmu regulacji predykcyjnej wielowymiarowych procesów liniowych modelowanych za pomocą dyskretnych równań różnicowych. W przeciwieństwie do algorytmu GPC, prognozowana trajektoria wymuszona i swobodna sygnałów wyjściowych wyznaczana jest bez potrzeby rozwiązania macierzowego równania diofantycznego. W przypadku braku ograniczeń zmiennych procesowych zadanie optymalizacji funkcji kryterialnej rozwiązuje się numerycznie efektywną metodą najmniejszych kwadratów. Omówiono również sposób wyprowadzenia analitycznego przwa regulacji.
This paper develops a predictive control algorithm for multivariable processes modelled by means of linear input-output models. Unlike the GPC algorithm, predicted forced and free trajectories are calculated without the necessity of solving a matrix Diophantine equation. In the unconstrained case the optimal input profile, using a numerically reliable least-squares method, is derived as an analytical formula, calculated beforehand.
Źródło:
Pomiary Automatyka Kontrola; 2003, R. 49, nr 9, 9; 10-14
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 16-30 z 101

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