• DocumentCode
    3461053
  • Title

    Speed estimation of induction motor using artificial neural networks

  • Author

    Mehrotra, Prashant ; Quaicoe, John E. ; Venkatesan, R.

  • Author_Institution
    Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
  • Volume
    2
  • fYear
    1996
  • fDate
    5-10 Aug 1996
  • Firstpage
    881
  • Abstract
    This paper proposes two techniques for speed estimation of induction motors using artificial neural networks. The techniques are based on speed expressions obtained from the induction motor dynamic equations. Two of the equations obtained have singularities, and hence direct speed estimation from these is not possible. The paper proposes a scheme using two ANNs to recover the speed from these two equations. However, it is possible to combine these two equations in a way that removes the singularities. Another method, based on this equation, is presented for obtaining the speed directly from the output of an ANN. These methods are general and easily implementable using commercially available ANN devices
  • Keywords
    electric machine analysis computing; induction motors; machine control; neural nets; parameter estimation; velocity control; artificial neural networks; induction motor; induction motor dynamic equations; singularities; speed control; speed estimation; Artificial neural networks; DC motors; Induction motor drives; Induction motors; Machine vector control; Motor drives; Nonlinear equations; Rotors; Torque control; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    0-7803-2775-6
  • Type

    conf

  • DOI
    10.1109/IECON.1996.565994
  • Filename
    565994