• DocumentCode
    157157
  • Title

    Robust RST controller design for induction motor drive for electric vehicle application

  • Author

    Bendjedia, M. ; Tehrani, K.A. ; Azzouz, Y. ; Shall, H.

  • Author_Institution
    Inst. de Rech. en Syst. Electroniques Embarques, Ecole Super. d´Ing. en Genie Electr., St. Etienne-du-Rouvray, France
  • fYear
    2014
  • fDate
    25-27 March 2014
  • Firstpage
    251
  • Lastpage
    258
  • Abstract
    This paper presents a new robust control system for induction motor intended for electric vehicle applications (EVA). A new RST controller is designed to accelerate the speed time response without overshoots and to remove the effects of disturbance related to speed sensors. This controller can quickly compensate the load torque disturbance. In order to reduce the measured noise generated by the speed sensor, we proposed an alternative structure based on two control loops. For high-dynamic performance of the control system, we used the indirect stator-flux-oriented control (ISFOC) and the space vector pulse width modulation (SVPWM) techniques. The simulation results show the performance of the proposed solution.
  • Keywords
    control system synthesis; electric vehicles; induction motor drives; machine control; robust control; stators; EVA; ISFOC; RST controller design; SVPWM techniques; control loops; electric vehicle application; high-dynamic performance; indirect stator-flux-oriented control; induction motor drive; load torque disturbance; robust control system; space vector pulse width modulation techniques; speed time response; Induction motors; Mathematical model; Noise; Polynomials; Rotors; Stators; Torque; Electric vehicle (EV); RST controller; disturbance rejection; indirect stator-flux-oriented control (ISFOC); induction motor drive; internal model; space vector pulse width modulation (SVPWM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Energy, 2014 International Conference on
  • Conference_Location
    Sfax
  • Print_ISBN
    978-1-4799-3601-4
  • Type

    conf

  • DOI
    10.1109/ICGE.2014.6835430
  • Filename
    6835430