• DocumentCode
    704289
  • Title

    Parameter estimation of the induction motor using extended Kalman filter for wide range speed control

  • Author

    Dadkhah, R. ; Givi, H. ; Mehdipour, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Shiraz Univ., Shiraz, Iran
  • fYear
    2015
  • fDate
    3-4 Feb. 2015
  • Firstpage
    137
  • Lastpage
    142
  • Abstract
    This paper is focused on parameter estimation of an induction motor using extended Kalman filter (EKF). Large variations of stator resistance along with the load torque changes are considered and the EKF is utilized for estimating the motor state and time varying stator resistance. The direct torque control (DTC) algorithm is employed to achieve sensorless speed control in a wide range. The main advantage of this research is considering the sharp variations in the stator resistance to confirm the robustness of the proposed scheme. The proposed algorithm is implemented in MATLAB and different scenarios are simulated. The results confirm the capability of the proposed technique for speed control of the induction motor in a wide range.
  • Keywords
    Kalman filters; induction motors; nonlinear filters; parameter estimation; sensorless machine control; stators; time-varying systems; torque control; velocity control; DTC algorithm; EKF; MATLAB; direct torque control; extended Kalman filter; induction motor; load torque changes; parameter estimation; sensorless speed control; time varying stator resistance; wide range speed control; Induction motors; Instruments; MATLAB; direct torque control (DTC); extended Kalman filter (EKF); induction motor parameter estimation; sensorless speed control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Drives Systems & Technologies Conference (PEDSTC), 2015 6th
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-7652-2
  • Type

    conf

  • DOI
    10.1109/PEDSTC.2015.7093263
  • Filename
    7093263