• DocumentCode
    1913310
  • Title

    An EKF based reduced order estimator for the sensorless control of IMs

  • Author

    Barut, M. ; Bogosyan, O.S. ; Gokasan, M.

  • Author_Institution
    Fac. of Electr. & Electron. Eng., Istanbul Tech. Univ., Turkey
  • Volume
    2
  • fYear
    2003
  • fDate
    23-25 June 2003
  • Firstpage
    1256
  • Abstract
    In this paper a reduce-order extended Kalman filter (EKF) algorithm is developed for the rotor flux oriented sensorless vector control of induction motors (IMs). The algorithm using measured stator currents involves the estimation of the rotor resistance, rotor flux, angular velocity and load torque. Simulation results show that the proposed method has a good performance to that of the similar full order estimator, while achieving a significant reduction in computation complexity and time.
  • Keywords
    Kalman filters; angular velocity; computational complexity; induction motors; reduced order systems; rotors; stators; torque control; EKF algorithm; angular velocity; computational complexity; extended Kalman filter; induction motors; load torque; reduced order estimator; rotor flux; rotor resistance; sensorless control; Angular velocity; Current measurement; Electrical resistance measurement; Induction motors; Machine vector control; Rotors; Sensorless control; Stators; Torque measurement; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on
  • Print_ISBN
    0-7803-7729-X
  • Type

    conf

  • DOI
    10.1109/CCA.2003.1223191
  • Filename
    1223191
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1913310