Development of fuzzy sliding mode control optimized by genetic algorithm for induction motor

• Autorzy: Bendaha Y. , Mazari B. , Benghanem M.

Warianty tytułu

PL

System sterowania trójfazowym silnikiem indukcyjnym przy wykorzystaniu logiki rozmytej i algorytmów genetycznych

• Języki publikacji: EN

Abstrakty

EN

This paper describes the use of robust control systems using fuzzy sliding mode and genetic algorithm (FSMC-GA) to control the speed of a three phase induction motor (IM). First, sliding mode control (SMC) that incorporates a fuzzy tuning technique (FSMC) is used to overcome the high control gains and chattering of the classical SMC. However, the fuzzy control rules are always built by designers with trial and error. We propose an optimization technique of FSMC using genetic algorithm (GA). GA is used for determination of different controller parameters due to their fast convergence and their reasonable accuracy. The effectiveness of the complete proposed control scheme is verified by numerical simulation. The results of simulation showed that (FSMC-GA) presents better performances compared to the (FSMC).

PL

W artykule przedstawiono system sterowania trójfazowym silnikiem indukcyjnym przy wykorzystaniu logiki rozmytej i algorytmów genetycznych. Logika rozmyta pozwala przezwyciężyć problemy wynikające z dużego wzmocnienia a algorytmy genetyczne pozwalają na optymalizację parametrów sterownika. Skuteczność proponowanego systemu została sprawdzona przez numeryczna symulację.

Słowa kluczowe

EN

induction motor; vector control; fuzzy control; sliding mode control; genetic algorithm

PL

silnik indukcyjny; logika rozmyta; algorytmy genetyczne

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2010
• Tom: R. 86, nr 9
• Strony: 343--347
• Opis fizyczny: Bibliogr. 12 poz., rys., tab., wykr.

Twórcy

autor

Bendaha Y.

autor

Mazari B.

autor

Benghanem M.

• University of Sciences and Technology of Oran (USTO), Algeria,

Bibliografia

• [1] E.Y.Y.Ho, P.C. Sen, Decoupling Control of Induction Motor Drives, IEEETransactions on Industrial electronics, Vol35, No2, May1988; pp 253-262.
• [2] A. Derdiyok, M.K. Guven, Habib. Rahman, N. Inane, Design and Implementation of New Sliding Mode Observer for Speed Sensorless Control Induction Machine, IEEE Trans. On Industrial Electronics, Vol 1, No3, 2002.
• [3] Wen June Wang, Tzu Gaun Yen, Chung Houn Sun, GABased Fuzzy Rules Generation, IEE proc, control theory application, Vol 149; No2, Mars 2002.
• [4] Charles P.Coleman, Datta.Codbole, A Comparison of Robustness: Fuzzy Logic, PID, and Sliding Mode Control, IEEE Transactions on Industrial electronics, 1994.
• [5] Y.Bendaha, B.Mazari, M. Benghanem, Fuzzy gains scheduling of PI controller optimized by GA for induction motor speed control, International review of automatic control IREACO, vol 2, no2, july 2009.
• [6] Y.Bendaha, B.Mazari, Implementation of New Fuzzy Sliding- Mode Observer for Speed-Sensorless Control of Induction Machine, ICEEA’06 the international Conference on electrical engineering and its applications May 22-23, 2006, Algeria.
• [7] I K Bousarhane, A.Hazzab, M.Rahli, B.Mazari, M. Kamli, Optimal Fuzzy Gains Scheduling of PI Controller for Induction Motor Speed Control, Acta electrotechnica et informatica No1, Vol 7, 2007.
• [8] J. Chang, Y. Kuo, Decoupled Fuzzy Sliding Mode Control, IEEE Trans. On Fuzzy Systems, Vol6, No3, 1998.
• [9] Wassim A.B, Ossama.Ismail, Genetic Optimization of Variable Structure PID Control Systems, IEEE Transactions on Industry application, Vol26,Issue3, May/June 2001.
• [10] W.L.Tung, C.Quek, A Genetic Self-Organizing Fuzzy Neural Network, IEEE Trans. Neural network, Vol.13, No5, pp1075- 1086, Sep.2002
• [11] D. Murray, K. Sharman, Genetic Algorithms Applied to Fuzzy Sliding Mode Controller Design, Proc.1st IEE/IEEE Int Conf. on GA in Eng. Syst., Innovation, Appl. Scheffield 1995.
• [12] A.Hazzab, I K Bousarhane, A. Laoufi, M. Kamli, M.Rahli, Fuzzy Sliding Mode Controller Optimized by Genetic Algorithm for Induction Motor Speed Control, Third International Conf. on Systems, Signals, March 21-24, 2005, Tunisia.