• DocumentCode
    581191
  • Title

    Sensorless induction motor control with improved stator flux estimator by programmable LPF

  • Author

    Lee, Sang-Soo ; Kim, Jae-Hoon ; Park, Byoung-Gun ; Hyun, Dong-Seok

  • Author_Institution
    Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    1993
  • Lastpage
    1998
  • Abstract
    In this paper, the improved stator flux estimator has been proposed to ensure A Programmable Low Pass Filter (PLPF) to act as a pure integrator for sensorless control of induction motors. Conventional PLPF uses the estimated synchronous speed as a cut-off frequency, with the magnitude and phase compensator determined on the assumption of the estimated synchronous speed being coincident with the actual one. However, if the synchronous speed is not exactly estimated, the magnitude and phase compensation will not be appropriate. Therefore, this paper has analyzed the relation between the synchronous speed error and the phase lag error of the stator flux. Based on this analysis, the synchronous speed error compensation scheme is proposed. In addition, this paper proposes the flux error compensation scheme because there still remain errors in spite of the speed error compensation. The validity of the proposed estimator has been proven using the simulation results.
  • Keywords
    induction motors; low-pass filters; power filters; sensorless machine control; stators; flux error compensation scheme; induction motors; phase compensator; phase lag error; programmable low pass filter; sensorless control; stator flux estimator; synchronous speed error compensation scheme; synchronous speed estimation; Error compensation; Hafnium; Induction motors; Manganese; Rotors; Simulation; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388896
  • Filename
    6388896