• DocumentCode
    2205458
  • Title

    Adaptive neurocontroller for the induction motor stator current

  • Author

    Alsina, Pablo Javier ; Gehlot, Narpat Singh

  • Author_Institution
    Dept. de Fisica, Univ. Estadual da Paraiba, Campina Grande, Brazil
  • Volume
    2
  • fYear
    1995
  • fDate
    13-16 Aug 1995
  • Firstpage
    649
  • Abstract
    In this paper a novel Neuro-Adaptive Controller for stator current of induction motors is presented. Based on an input voltage-output current model, an adaptive stator current controller is proposed. The dynamic stability of the proposed adaptive controller is proved based on the Lyapunov Stability Criteria. The proposed adaptation technique is modified and coupled to a Backpropagation Neural Network to implement a Direct-Adaptive Neurocontroller. Computer simulation results for a three-phase induction motor, utilizing the proposed adaptive and neuro-adaptive controllers, are presented
  • Keywords
    adaptive control; backpropagation; electric current control; induction motors; neurocontrollers; stability criteria; Lyapunov stability criteria; adaptive neurocontroller; backpropagation neural network; direct-adaptive neurocontroller; dynamic stability; induction motor stator current; input voltage-output current model; three-phase induction motor; Adaptive control; Backpropagation; Couplings; Induction motors; Lyapunov method; Neurocontrollers; Programmable control; Stability criteria; Stators; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    0-7803-2972-4
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1995.510173
  • Filename
    510173