• DocumentCode
    303174
  • Title

    Development of an artificial neural network based induction motor speed estimator

  • 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
    1
  • fYear
    1996
  • fDate
    23-27 Jun 1996
  • Firstpage
    682
  • Abstract
    This paper derives two functional relationships between the stator quantities and speed from the induction motor dynamic equations. As singularities are present in these relationships, direct estimation of speed using artificial neural networks (ANNs) with these stator inputs is not possible. This paper proposes a scheme which employs two ANNs to recover motor speed. An added benefit of this scheme is that it can be used quite easily in the presence of an inverter without the need for a smoothing filter for the feedback quantities. This method is general, robust and implementable using commercially available ANN devices
  • Keywords
    control system analysis; feedback; induction motors; machine control; machine theory; neurocontrollers; parameter estimation; robust control; stators; velocity control; artificial neural network; control simulation; feedback quantities; functional relationships; induction motor speed estimator; inverter; motor dynamic equations; motor speed control; motor speed recovery; robustness; singularities; stator quantities; Artificial neural networks; DC motors; Induction motor drives; Induction motors; Machine vector control; Robustness; Rotors; Servomechanisms; Stators; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, 1996. PESC '96 Record., 27th Annual IEEE
  • Conference_Location
    Baveno
  • ISSN
    0275-9306
  • Print_ISBN
    0-7803-3500-7
  • Type

    conf

  • DOI
    10.1109/PESC.1996.548655
  • Filename
    548655