• DocumentCode
    577472
  • Title

    Model predictive control of vector controlled induction motor drive

  • Author

    Diab, Ahmed A. Zaki ; Pankratov, V.V.

  • Author_Institution
    Novosibirsk State Tech. Univ., Novosibirsk, Russia
  • fYear
    2012
  • fDate
    18-21 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper the application of the model predictive control (MPC) technique for controlling the speed of the induction motor drive has been presented. Vector control principle has been used for decoupling between motor speed and rotor flux. A simple model of induction motor is employed in the MPC structure so as to minimize the computational load. The MPC controller design is taken into account the effect of uncertainty due to motor parameters variation and load disturbance could be reduced. The effectiveness of the proposed scheme has been successfully verified through simulations. The performance of the system including the MPC controller is compared with the corresponding one using the traditional PI controller. The results proved that the induction motor with the MPC speed controller has superior transient response, and good robustness in face of uncertainties including load disturbance. Moreover, accurate tracking performance has been achieved.
  • Keywords
    PI control; angular velocity control; control system synthesis; induction motor drives; machine control; predictive control; rotors; transient response; MPC controller design; computational load; induction motor drive; load disturbance; model predictive control; motor parameters variation; motor speed decoupling; rotor flux; speed control; traditional PI controller; transient response; vector controlled induction motor drive; Induction motors; Load modeling; Mathematical model; Rotors; Stators; Torque; Transient response; Induction Motor; Model Predictive Control; Vector Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2012 7th International Forum on
  • Conference_Location
    Tomsk
  • Print_ISBN
    978-1-4673-1772-6
  • Type

    conf

  • DOI
    10.1109/IFOST.2012.6357677
  • Filename
    6357677