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Wyszukujesz frazę "TSK controller" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Robust control of the PMSM drive with changeable inertia using TSK-type fuzzy controller
Autorzy:
Dróżdż, K.
Szabat, K.
Powiązania:
https://bibliotekanauki.pl/articles/97252.pdf
Data publikacji:
2013
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
electrical drive control
fuzzy speed control
TSK fuzzy controller
PMSM drive
Opis:
In the work the application of the fuzzy TSK-type controller for the speed control of the nonlinear, nonstationary PMSM drive is considered. The parameters of the fuzzy controller are selected using genetic algorithm. The designed controller is robust against variation of inertia of the drive. The comparative study concerning proposed and classical control structure is considered. The theoretical consideration are verify by simulation tests. The obtained results show the superior performance of the proposed system.
Źródło:
Computer Applications in Electrical Engineering; 2013, 11; 281-292
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evolutionary optimization of interval mathematics-based design of a TSK fuzzy controller for anti-sway crane control
Autorzy:
Smoczek, J.
Powiązania:
https://bibliotekanauki.pl/articles/330615.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
interval mathematics
pole placement method
evolutionary algorithm
fuzzy logic
TSK controller
anti-sway crane control
matematyka przedziałowa
metoda lokowania biegunów
algorytm ewolucyjny
logika rozmyta
sterownik TSK
Opis:
A hybrid method combining an evolutionary search strategy, interval mathematics and pole assignment-based closed-loop control synthesis is proposed to design a robust TSK fuzzy controller. The design objective is to minimize the number of linear controllers associated with rule conclusions and tune the triangular-shaped membership function parameters of a fuzzy controller to satisfy stability and desired dynamic performances in the presence of system parameter variation. The robust performance objective function is derived based on an interval Diophantine equation. Thus, the objective of a fuzzy logic-based control scheme is to place all the closed-loop control system characteristic polynomial coefficients within desired intervals. The reproduction process in the proposed Evolutionary Algorithm (EA) is based on the arithmetical crossover, uniform and non-uniform mutation along with gene deletion/insertion mutation ensuring a diversity of genomes sizes, as well as a diversity in the parameter space of membership functions. The proposed algorithm was implemented to design a fuzzy logic-based anti-sway crane control system taking into consideration the rope length and the mass of a payload variation. The results of experiments conducted using the EA for different conditions assumed for system parameter intervals and desired closed-loop system performances are compared with results achieved using the iterative procedure which is also described in the paper.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2013, 23, 4; 749-759
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent PI controller and its application to dissolved oxygen tracking problem
Autorzy:
Zubowicz, T.
Brdys, M. A.
Piotrowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/384365.pdf
Data publikacji:
2010
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
aeration process
artificial intelligence
control systems
dissolved oxygen
tracking problem
fuzzy logic controller
genetic algorithms
intelligent control
Takagi Sugeno Kang method
TSK
soft switching
wastewater treatment
Opis:
The paper addresses design, calibration, implementation and simulation of the intelligent PI controller used for dissolved oxygen (DO) tracking at wastewater treatment plant (WWTP). The calibration process presented in this paper utilizes both engineering and scientific methods. Verification of the control system design method was obtained via simulation experiments.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 3; 16-24
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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