• DocumentCode
    2676988
  • Title

    The application of neural networks to induction machine control

  • Author

    Wishart, MT ; Harley, RG

  • Author_Institution
    Dept. of Electr. Eng., Natal Univ., Durban, South Africa
  • fYear
    1992
  • fDate
    22-24 Sep 1992
  • Firstpage
    311
  • Lastpage
    314
  • Abstract
    Neural networks (NNs) are discussed in connection with their possible use in induction machine drives. The mathematical model of the NN as well as a commonly used learning algorithm is presented. Possible applications of NNs to induction machine control are discussed. A simulation of an NN successfully identifying the nonlinear multivariable model of an induction-machine stator transfer function is presented. Previously published applications are discussed, and some possible future applications are proposed
  • Keywords
    induction motors; induction machine control; induction motors; learning algorithm; mathematical model; neural networks; nonlinear multivariable model; simulation; stator transfer function; Africa; Application software; Artificial neural networks; Biological neural networks; Computed tomography; Control systems; Drives; Induction machines; Neural networks; Roentgenium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AFRICON '92 Proceedings., 3rd AFRICON Conference
  • Conference_Location
    Ezulwini Valley
  • Print_ISBN
    0-7803-0835-2
  • Type

    conf

  • DOI
    10.1109/AFRCON.1992.624481
  • Filename
    624481