PID controller adapted by a fuzzy inference system optimized by genetic algorithm for induction machine control

  • Authors:

  • Abdeldjebar Hazzab;Ismaïl Khalil Bousserhane;Mokhtar Kamli;Mustapha Rahli

  • Affiliations:

  • University Center of Becher, Becher, Algeria and University of Science and Technology of Oran, Oran, Algeria;University Center of Becher, Becher, Algeria and University of Science and Technology of Oran, Oran, Algeria;University Center of Becher, Becher, Algeria and University of Science and Technology of Oran, Oran, Algeria;University Center of Becher, Becher, Algeria and University of Science and Technology of Oran, Oran, Algeria

  • Venue:
  • ACMOS'05 Proceedings of the 7th WSEAS international conference on Automatic control, modeling and simulation
  • Year:
  • 2005

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Abstract

In this paper we present the control of an induction machine alimented by a PWM three-phase invertedr using a controller with PID structure adapted by a fuzzy inference system (adaptive FLC-PI). However the major disadvantage of the fuzzy logic control is the lack of design techniques, for this purpose we propose an aptimization technique of the fuzzy-adapter parameters (adaptive FLC-PI-GA). This technique have presented a good performances compared to the controller which have parameters chosen by the human operator (adaptive FLC-PI).