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Wyświetlanie 1-15 z 57
Tytuł:
Influence of control parameters on synchronization stability of virtual synchronous generator
Autorzy:
Zhang, Yanxia
Cheng, Yachao
Liu, Kaixiang
Han, Yue
Powiązania:
https://bibliotekanauki.pl/articles/2172794.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
control parameter
frequency modulation coefficient
phase plane method
synchronization stability
virtual synchronous generator
Opis:
Different from the synchronization mechanism of synchronous generators, the non-synchronous generators must be synchronized with the grid through a controller. Generally, the virtual synchronous generator (VSG) control strategy is adopted for this purpose. In view of the current situation, where the control loops are not comprehensively considered in the research of the synchronization stability of the VSG, this paper considers multiple control loops, such as active frequency loops, virtual governors, power filters and current constraint control, to establish the mathematical model of the VSG and infinite system. On this basis, the correlation formula between power angle difference and control parameters is deduced. Adopting the phase plane method, the influence of different control loops and their parameters on the transient synchronization stability is analyzed. Finally, a setting principle of the frequency modulation coefficient of virtual governors is proposed, which not only meets the response speed of control systems, but also has good control performance.
Źródło:
Archives of Electrical Engineering; 2022, 71, 4; 811--828
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorithms of Sustainable Estimation of Unknown Input Signals in Control Systems
Autorzy:
Yusupbekov, Nadirbek
Igamberdiev, Husan
Mamirov, Uktam
Powiązania:
https://bibliotekanauki.pl/articles/385096.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
control system
state
signal reconstruction
regularization
regularization parameter
układ sterowania
stan
rekonstrukcja sygnału
regularyzacja
parametr regularyzacji
Opis:
The problem of estimating unknown input effects in control systems based on the methods of the theory of optimal dynamic filtering and the principle of expansion of mathematical models is considered. Equations of dynamics and observations of an extended dynamical system are obtained. Algorithms for estimating input signals based on regularization and singular expansion methods are given. The above estimation algorithms provide a certain roughness of the filter parameters to various violations of the conditions of model problems, i.e. are not very sensitive to changes in the a priori data.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 4; 83-86
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
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:
Robust output predictive sequential controller design
Autorzy:
Vesely, V.
Rosinova, D.
Powiązania:
https://bibliotekanauki.pl/articles/229887.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
robust control
parameter dependent quadratic stability
Lyapunov function
polytopic system
sequential approach
Opis:
The paper addresses design problem of a robust parameter dependent quadratically stabilizing output/state feedback model predictive control for linear polytopic systems without constraints using original equential approach. The design procedure ensures stability, robustness properties and guaranteed cost for the closed-loop uncertain system
Źródło:
Archives of Control Sciences; 2010, 20, 1; 31-46
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Self-adaptation of parameters in a learning classifier system ensemble machine
Autorzy:
Troć, M.
Unold, O.
Powiązania:
https://bibliotekanauki.pl/articles/907767.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
komputerowe uczenie się
system klasyfikujący
sterowanie adaptacyjne
sterowanie parametryczne
machine learning
extended classifier system
self-adaptation
adaptive parameter control
Opis:
Self-adaptation is a key feature of evolutionary algorithms (EAs). Although EAs have been used successfully to solve a wide variety of problems, the performance of this technique depends heavily on the selection of the EA parameters. Moreover, the process of setting such parameters is considered a time-consuming task. Several research works have tried to deal with this problem; however, the construction of algorithms letting the parameters adapt themselves to the problem is a critical and open problem of EAs. This work proposes a novel ensemble machine learning method that is able to learn rules, solve problems in a parallel way and adapt parameters used by its components. A self-adaptive ensemble machine consists of simultaneously working extended classifier systems (XCSs). The proposed ensemble machine may be treated as a meta classifier system. A new self-adaptive XCS-based ensemble machine was compared with two other XCS-based ensembles in relation to one-step binary problems: Multiplexer, One Counts, Hidden Parity, and randomly generated Boolean functions, in a noisy version as well. Results of the experiments have shown the ability of the model to adapt the mutation rate and the tournament size. The results are analyzed in detail.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2010, 20, 1; 157-174
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robustifying analysis of the direct adaptive control of unknown multivariable nonlinear systems based on a new neuro-fuzzy method
Autorzy:
Theodoridis, D. C.
Boutalis, Y.S.
Christodoulou, M. A.
Powiązania:
https://bibliotekanauki.pl/articles/91598.pdf
Data publikacji:
2011
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
nonlinear systems
control
neuro-fuzzy dynamical system
fuzzy systems
FS
fuzzy recurrent high order neural network
F-RHONN
adaptive regulator
parameter
“Hopping”
“Modified Hopping”
modeling errors
asymptotic regulation
Opis:
In this paper, we are dealing with the problem of directly regulating unknown multivariable affine in the control nonlinear systems and its robustness analysis. The method employs a new Neuro-Fuzzy Dynamical System definition, which uses the concept of Fuzzy Systems (FS) operating in conjunction with High Order Neural Networks. In this way the unknown plant is modeled by a fuzzy - recurrent high order neural network structure (F-RHONN), which is of the known structure considering the neglected nonlinearities. The development is combined with a sensitivity analysis of the closed loop in the presence of modeling imperfections and provides a comprehensive and rigorous analysis showing that our adaptive regulator can guarantee the convergence of states to zero or at least uniform ultimate boundedness of all signals in the closed loop when a not-necessarily-known modeling error is applied. The existence and boundedness of the control signal is always assured by employing a method of parameter “Hopping” and “Modified Hopping”, which appears in the weight updating laws. Simulations illustrate the potency of the method showing that by following the proposed procedure one can obtain asymptotic regulation despite the presence of modeling errors. Comparisons are also made to simple recurrent high order neural network (RHONN) controllers, showing that our approach is superior to the case of simple RHONN’s.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2011, 1, 1; 59-79
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Gaussian process dynamic modeling and backstepping sliding mode control for magnetic levitation system of maglev train
Autorzy:
Sun, Yougang
Wang, Sumei
Lu, Yang
Xu, Junqi
Powiązania:
https://bibliotekanauki.pl/articles/2086959.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
maglev train
Gaussian process
sliding mode control
parameter perturbations
Opis:
The maglev trains are strongly nonlinear and open-loop unstable systems with external disturbances and parameters uncertainty. In this paper, the Gaussian process method is utilized to get the dynamic parameters, and a backstepping sliding mode controller is proposed for magnetic levitation systems (MLS) of maglev trains. That is, for a MLS of a maglev train, a nonlinear dynamic model with accurate parameters is obtained by the Gaussian process regression method, based on which a novel robust control algorithm is designed. Specifically, the MLS is divided into two sub-systems by a backstepping method. The inter virtual control inputs and the Lyapunov function are constructed in the first sub-system. For the second sub-system, the sliding mode surface is constructed to fulfil the design of the whole controller to asymptotically regulate the airgap to a desired trajectory. The stability of the proposed control method is analyzed by the Lyapunov method. Both simulation and experimental results are included to illustrate the superior performance of the presented method to cope with parameters perturbations and external disturbance.
Źródło:
Journal of Theoretical and Applied Mechanics; 2022, 60, 1; 49--62
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
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:
Robust predictive control of an overhead crane
Autorzy:
Smoczek, J.
Szpytko, J.
Powiązania:
https://bibliotekanauki.pl/articles/243833.pdf
Data publikacji:
2017
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
overhead crane
predictive control
linear parameter varying model
recursive estimation
fuzzy interpolation
Opis:
The predictive control scheme is developed for an overhead crane using the generalized predictive procedure applied for the discrete time linear parameter-varying model of a crane dynamic. The robust control technique is developed with respect to the constraints of sway angle of a payload and control input signal. The two predictive strategies are presented and compared experimentally. In the first predictive control scheme, the online estimation of the parameters of a crane dynamic model is performed using the recursive least square algorithm. The second approach is a sensorless anti-sway control strategy. The sway angle feedback signal is estimated by a linear parameter-varying model of an unactuated pendulum system with the parameters interpolated using a quasi-linear fuzzy model designed through utilizing the P1-TS fuzzy theory. The fuzzy interpolator is applied to approximate the parameters of a crane discrete-time dynamic model within the range of scheduling variables changes: the rope length and mass of a payload. The experiments carried out on a laboratory scaled overhead crane confirmed effectiveness and feasibility of the proposed solutions. The implementation of control systems was performed using the PAC system with RX3i controller. The series of experiments carried out for different operating points proved robustness of the control approaches presented in the article.
Źródło:
Journal of KONES; 2017, 24, 2; 231-238
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prosty sposób optymalizacji parametrycznej w metodzie (FOC) dla silnika indukcyjnego
Simple method of parameters optimization in field orientated control (FOC) of induction motor
Autorzy:
Sieklucki, G.
Orzechowski, T.
Sykulski, R.
Powiązania:
https://bibliotekanauki.pl/articles/320192.pdf
Data publikacji:
2005
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
silnik indukcyjny
falownik napięcia
sterowanie polowo zorientowane
FOC
optymalizacja parametryczna
regulacja prędkości kątowej
induction motor
voltage source inverter
field oriented control
angular speed control
parameter optimization
Opis:
W artykule przedstawiono standardową strukturę układu sterowania polowo zorientowanego (FOC) regulacji prędkości silnika indukcyjnego zasilanego z falownika napięcia. Zaprezentowano prostą metodę doboru regulatorów prądów i prędkości (typu PI). Zamieszczono wyniki badań symulacyjnych.
Standard structure of field orientated control (FOC) system of induction motor is presented. Simple method of parameters selection of currents and speed controller (type PI) are proposed. Simulation result of this control system are discussed.
Źródło:
Elektrotechnika i Elektronika; 2005, 24, 1; 93-99
1640-7202
Pojawia się w:
Elektrotechnika i Elektronika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The method of selection of optimum fitting parameters for stationary photovoltaic systems and optimum control parameters for tracking photovoltaic systems
Metoda doboru optymalnych parametrow montazu dla stacjonarnych i sterowania dla nadaznych systemow fotowoltaicznych
Autorzy:
Sarniak, M.
Powiązania:
https://bibliotekanauki.pl/articles/792121.pdf
Data publikacji:
2012
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
solar radiation
solar collector
photovoltaic conversion
photovoltaic panel
fitting parameter
control parameter
meteorological station
Źródło:
Teka Komisji Motoryzacji i Energetyki Rolnictwa; 2012, 12, 1
1641-7739
Pojawia się w:
Teka Komisji Motoryzacji i Energetyki Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Finite-dimensional H∞ control of a parallel-flow heat exchange process
Autorzy:
Sano, H.
Powiązania:
https://bibliotekanauki.pl/articles/200376.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
distributed parameter system H∞ control
residual mode filter
semigroup
parametr kontroli systemu H∞
półgrupa
RMF
Opis:
This paper is concerned with the H∞ control problem of a coupled transport-diffusion system with Neumann boundary condition, related to parallel-flow heat exchange process. It is shown that, by using the previous approach for a single diffusion system, the H∞ control problem can be solved by constructing a residual mode filter (RMF)-based controller which is of finite-dimension. A numerical simulation result is given to demonstrate the validity of the proposed method.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2017, 65, 1; 11-19
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
LMI-based robust control of uncertain nonlinear systems via polytopes of polynomials
Autorzy:
Sánchez, Marcelino
Bernal, Miguel
Powiązania:
https://bibliotekanauki.pl/articles/330548.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
robust control
uncertain system
nonlinear system
linear parameter-varying systems
LMIs
sterowanie odporne
układ niepewny
układ nieliniowy
układ liniowy niestacjonarny
Opis:
This investigation is concerned with robust analysis and control of uncertain nonlinear systems with parametric uncertainties. In contrast to the methodologies from the field of linear parameter varying systems, which employ convex structures of the state space representation in order to perform analysis and design, the proposed approach makes use of a polytopic form of a generalisation of the characteristic polynomial, which proves to outperform former results on the subject. Moreover, the derived conditions have the advantage of being cast as linear matrix inequalities under mild assumptions.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2019, 29, 2; 275-283
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust quasi-LPV model reference FTC of a quadrotor UAV subject to actuator faults
Autorzy:
Rotondo, D.
Nejjari, F.
Puig, V.
Powiązania:
https://bibliotekanauki.pl/articles/331147.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
linear parameter varying systems
fault tolerant control
quadrotor
model reference based control
linear matrix inequalities
układ liniowy niestacjonarny
sterowanie tolerujące uszkodzenia
liniowe nierówności macierzowe
Opis:
A solution for fault tolerant control (FTC) of a quadrotor unmanned aerial vehicle (UAV) is proposed. It relies on model reference-based control, where a reference model generates the desired trajectory. Depending on the type of reference model used for generating the reference trajectory, and on the assumptions about the availability and uncertainty of fault estimation, different error models are obtained. These error models are suitable for passive FTC, active FTC and hybrid FTC, the latter being able to merge the benefits of active and passive FTC while reducing their respective drawbacks. The controller is generated using results from the robust linear parameter varying (LPV) polytopic framework, where the vector of varying parameters is used to schedule between uncertain linear time invariant (LTI) systems. The design procedure relies on solving a set of linear matrix inequalities (LMIs) in order to achieve regional pole placement and H∞ norm bounding constraints. Simulation results are used to compare the different FTC strategies.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 7-22
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiz i razrabotka sposobov ucheta ogranichenijj na funkciju upravlenija dvizheniem gruzopodemnykh kranov
Analysis and development of accounting methods for restrictions on functions traffic control load-lifting cranes
Autorzy:
Romasevich, J.
Powiązania:
https://bibliotekanauki.pl/articles/76671.pdf
Data publikacji:
2014
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
load-lifting crane
control
electrical drive
tolerance
mechanical parameter
crane
algorithm
Źródło:
Motrol. Motoryzacja i Energetyka Rolnictwa; 2014, 16, 3
1730-8658
Pojawia się w:
Motrol. Motoryzacja i Energetyka Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 57

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