• DocumentCode
    2425161
  • Title

    Speed estimation of induction motor using modified voltage model flux estimation

  • Author

    Zhao, Kun ; You, Xiaojie

  • Author_Institution
    Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2009
  • fDate
    17-20 May 2009
  • Firstpage
    1979
  • Lastpage
    1982
  • Abstract
    Speed estimation in field-oriented vector control of induction motor depends on effective estimation of rotor flux. This paper proposes speed estimator using improved rotor flux estimator based on modified voltage model with a high orders low-pass filter (LPF) and a low-pass filter in series and an error compensator by rotor flux oriented current model. In the flux estimation based on voltage model, a high orders LPF can remove the DC offset input of back EMF, a LPF is normally used to replace the pure integrator to avoid integration drift and saturation problems and the flux estimation error is compensated according to rotor flux oriented current model. The proposed the speed estimator realizes errorless speed estimation in steady state and makes the error of speed estimation smaller in dynamic state. The speed estimation is verified by speed sensorless field-oriented vector controlled 2.2 kW induction motor. Experimental results demonstrate high performance of the speed estimator.
  • Keywords
    induction motors; machine vector control; DC offset input; back EMF; error compensator; field-oriented vector control; high orders low-pass filter; induction motor; low-pass filter; modified voltage model flux estimation; power 2.2 kW; rotor flux estimation error; rotor flux oriented current model; speed estimation; AC motors; Equations; Estimation error; Induction motors; Low pass filters; Machine vector control; Observers; Rotors; State estimation; Voltage; flux estimation; induction motor; modified voltage model; speed estimator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3556-2
  • Electronic_ISBN
    978-1-4244-3557-9
  • Type

    conf

  • DOI
    10.1109/IPEMC.2009.5157719
  • Filename
    5157719