• DocumentCode
    3408348
  • Title

    A sliding mode adaptive MRAS speed estimator for induction motors

  • Author

    Comanescu, Mihai ; Utkin, Vadim

  • Author_Institution
    Electr. Eng. at Penn State Altoona, Ohio State Univ., Columbus, OH
  • fYear
    2008
  • fDate
    June 30 2008-July 2 2008
  • Firstpage
    634
  • Lastpage
    638
  • Abstract
    The paper presents a speed estimator for the induction motor (IM) drive. The estimation method is based on the rotor flux MRAS principle and uses sliding mode theory. In sensorless speed control, the accuracy and dynamic behavior of the speed estimate are important since this is used for feedback. The proposed estimation method uses the rotor fluxes as reference quantities in a MRAS scheme and attempts to estimate simultaneously the IM speed and the rotor time constant. Adaptation equations for the speed and the time constant are adopted based on Lyapunovpsilas theory of nonlinear stability. With the equations obtained, due to singularity, only a speed estimator is obtained. The method assumes that the rotor fluxes in the stationary reference frame are available and uses them as reference quantities - this is the typical case with a direct field oriented IM drive. Simulation results on a 1/4 hp three-phase motor show good accuracy and satisfactory estimation dynamics.
  • Keywords
    Lyapunov methods; induction motor drives; machine control; model reference adaptive control systems; rotors; stability; variable structure systems; velocity control; Lyapunov theory; MRAS speed estimator; induction motor drive; model reference adaptive system; nonlinear stability; rotor fluxes; sensorless speed control; sliding mode adaptive estimator; Electrical resistance measurement; Feedback; Induction motors; Nonlinear equations; Parameter estimation; Rotors; Stability; Stators; Velocity control; Yield estimation; induction machine; sensorless control; speed estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-1665-3
  • Electronic_ISBN
    978-1-4244-1666-0
  • Type

    conf

  • DOI
    10.1109/ISIE.2008.4676921
  • Filename
    4676921