• DocumentCode
    3344434
  • Title

    Frequency estimation for sensorless control of induction motors

  • Author

    Hilairet, M. ; Auger, F.

  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    925
  • Abstract
    In the motor control industry, DSP systems offer major improvements over analog designs, enabling notably to replace speed or position sensors by the implementation of sensorless control algorithms. In this paper, we propose a new viable method which estimates the rotor velocity from the "rotor slot harmonics" included in the stator current signals. This approach is based on both an adjustable digital filter, which is fitted to this particular application, and an extended Kalman filter whose computational burden has been reduced thanks to an additional virtual state
  • Keywords
    Kalman filters; angular velocity control; digital control; digital signal processing chips; frequency estimation; induction motors; machine control; rotors; stators; 0.7 kW; DSP systems; additional virtual state; adjustable digital filter; extended Kalman filter; induction motors; motor control; rotor slot harmonics; rotor velocity estimation; sensorless control algorithms; stator current signals; Algorithm design and analysis; Digital signal processing; Electrical equipment industry; Frequency estimation; Induction motors; Industrial control; Motor drives; Rotors; Sensor systems; Sensorless control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.941067
  • Filename
    941067