• DocumentCode
    3292291
  • Title

    An improved rotor position and velocity estimation technique for PMSM based on modified machine model

  • Author

    Dongwei, He ; Xiafu, Peng ; Xuecheng, Jiang ; Jiehua, Zhou

  • Author_Institution
    Dept. of Autom., Xiamen Univ., Xiamen, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    1983
  • Lastpage
    1986
  • Abstract
    This paper presents an improved method for the estimation of rotor speed and position of PMSM. Since the information of rotor speed and position obtained from Sliding Mode Observer in estimated rotor frame usually carries noise because of the switching input and the noise increase when the speed is higher, an Extended Kalman Filter is designed to eliminate the noise and get the accuracy information, meanwhile the outstanding robustness properties against system parameter uncertainties and external disturbance remains. The results of the simulation demonstrate the effectiveness of the proposed method using Matlab/Simulink facility.
  • Keywords
    Kalman filters; angular velocity control; interference suppression; observers; permanent magnet motors; position control; rotors; sensorless machine control; synchronous motors; variable structure systems; Matlab-Simulink facility; PMSM; extended Kalman filter; modified machine model; noise elimination; permanent magnet synchronous motor; rotor position estimation technique; rotor velocity estimation technique; sliding mode observer; switching input; Equations; Mathematical model; Noise; Observers; Rotors; Stators; Estimated Rotating Reference Frame; Permanent Magnet Synchronous Motor (PMSM); Sensorless; Sliding Mode Observer (SMO); back EMF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5778264
  • Filename
    5778264