• DocumentCode
    1303813
  • Title

    SMC-based adaptive input-output linearising control of induction motors

  • Author

    Park, T.-G. ; Lee, K.-S.

  • Author_Institution
    Dept. of Electr. Eng., Dankook Univ., Seoul, South Korea
  • Volume
    145
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    55
  • Lastpage
    62
  • Abstract
    The authors present a sliding mode-based adaptive input-output linearising control for induction motors, which covers the more realistic situation in which the load torque and the rotor resistance are not exactly known. A nonlinear identification scheme based on the continuous Hopfield network is proposed which models the unknown parameter deviations between load torque and rotor resistance and their nominal values. Once these are identified, the motor flux amplitude and speed are separately controlled by sliding mode control with variable switching gains. Simulation results show the robust behaviour of the controller in the presence of parameter uncertainties and disturbances
  • Keywords
    Hopfield neural nets; adaptive control; identification; induction motors; linearisation techniques; machine control; nonlinear control systems; variable structure systems; SMC-based adaptive I/O linearising control; continuous Hopfield network; disturbances; induction motors; load torque; motor flux amplitude; nonlinear identification scheme; parameter uncertainties; robust behaviour; rotor resistance; sliding mode control; sliding mode-based adaptive input-output linearising control; unknown parameter deviations; variable switching gains;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:19981701
  • Filename
    656111