• DocumentCode
    2485915
  • Title

    Sensorless speed estimation of PMSM using a hybrid method

  • Author

    Liu, Yu ; Liu, Jie ; Dai, Li ; Yu, Chunming

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    3451
  • Lastpage
    3454
  • Abstract
    A hybrid estimator which combined the advantages of sliding mode estimator and extended Kalman filter for sensorless control of PMSM was proposed. The algorithm is more effective than sliding mode estimator for a motor with a distorted back-emf distribution. The hybrid estimator established a three-order EKF, considering the high order harmonics components of back-emf as system and measurement noise. It is easier to tune the parameters for the order lowered EKF estimator than traditional EKF estimator. It has a good performance for PMSM with no sinusoidal back EMF distributing while sliding mode estimator has a worse capability. Compared with the sliding mode estimator, traditional EKF estimator and hybrid estimator, the advantages and disadvantages of the hybrid estimator are illustrated.
  • Keywords
    angular velocity measurement; machine control; permanent magnet motors; variable structure systems; velocity control; PMSM; distorted back-emf distribution; extended Kalman filter; sensorless speed estimation; sliding mode estimator; Automation; Covariance matrix; Harmonic distortion; Iterative algorithms; Observers; Rotors; Sensorless control; Sliding mode control; Stators; Vehicle dynamics; extended Kalman filter; hybrid estimator; sensorless control; sliding mode estimator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593472
  • Filename
    4593472