• DocumentCode
    3199842
  • Title

    Model reference adaptive fuzzy controller for induction motor using auto-attentive approach

  • Author

    Dessouky, A.E. ; Tarbouchi, Mohammed

  • Author_Institution
    Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    719
  • Abstract
    This paper presents a model reference adaptive fuzzy speed controller for induction motor using the auto-attentive approach. It consists of developing an adaptive controller that can track the change of the operating point and the plant parameters even in magnetic saturation mode. The adaptive mechanism should be fast enough for all the tracking process. The proposed approach helps to increase the accuracy of the controller around the set point and keep the number of the roles in the rule-base as low as possible. This would minimize the computation complexity and enhance the system performance
  • Keywords
    control system analysis; control system synthesis; fuzzy control; induction motors; learning (artificial intelligence); machine control; machine theory; model reference adaptive control systems; velocity control; computation complexity; control design; control simulation; induction motor; magnetic saturation mode; model reference adaptive fuzzy speed controller; operating point tracking; plant parameters tracking; Adaptive control; Control systems; Educational institutions; Fuzzy control; Fuzzy logic; Humans; Induction motors; Machine learning; Programmable control; Saturation magnetization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2000. ISIE 2000. Proceedings of the 2000 IEEE International Symposium on
  • Conference_Location
    Cholula, Puebla
  • Print_ISBN
    0-7803-6606-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2000.930387
  • Filename
    930387