• DocumentCode
    330304
  • Title

    Direct self control of induction motor based on neural network

  • Author

    Shi, K.L. ; Chan, T.F. ; Wong, Y.K.

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech., Hong Kong
  • Volume
    2
  • fYear
    1998
  • fDate
    11-14 Oct 1998
  • Firstpage
    1696
  • Abstract
    This paper presents an artificial neural network (ANN) of direct self control (DSC) for induction motor to decrease the time consumption of conventional DSC controller. To cope with the complex calculation of DSC, the design employs the individual training strategy with the fixed-weight and the supervised models. The simulation results of ANN DSC system have demonstrated that ANN is available to implement the DSC theory for an induction motor
  • Keywords
    induction motors; machine control; neurocontrollers; self-adjusting systems; direct self control; fixed-weight; induction motor; machine control; neural network; neurocontrol; supervised models; Artificial neural networks; Biological system modeling; Digital signal processing; Hardware; Induction motors; Mathematical model; Neural networks; Neurons; Signal processing algorithms; Switching frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4778-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1998.728138
  • Filename
    728138