• DocumentCode
    1677742
  • Title

    Speed estimation of an IM using Kalman filter algorithm at ultra-low speed region

  • Author

    Yoo, Jae-Yoo ; Park, Tae-Sik ; Kim, Seong-Hwan ; Kim, Nam-Jeung ; Ji-Yoon Yoo

  • Author_Institution
    Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    1997
  • Abstract
    Since the average speed calculated with encoder pulses inevitably has time delay effects, it can degrade the control performance as well as system stability of induction motors, especially in the low speed region. In this paper, an accurate speed estimation method using a Kalman filter algorithm is presented to improve the speed control performance of an induction motor with a low precision shaft encoder in the low speed operating region
  • Keywords
    Kalman filters; control system analysis; filtering theory; induction motors; machine control; machine testing; machine theory; parameter estimation; stability; velocity control; 2.2 kW; Kalman filter algorithm; control performance; control simulation; control stability; induction motor speed control; low-precision shaft encoder; speed estimation; ultra-low speed operating region; Control systems; Covariance matrix; Degradation; Gaussian noise; Noise measurement; Phase noise; Position measurement; Stability; Time measurement; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives Conference Record, 1997. IEEE International
  • Conference_Location
    Milwaukee, WI
  • Print_ISBN
    0-7803-3946-0
  • Type

    conf

  • DOI
    10.1109/IEMDC.1997.604167
  • Filename
    604167