• DocumentCode
    3244714
  • Title

    Identification of induction motor parameter using an extended Kalman filter

  • Author

    Jaramillo, R. ; Alvarez, R. ; Urdenas, V. ; Nunez, C.

  • fYear
    2004
  • fDate
    8-10 Sept. 2004
  • Firstpage
    584
  • Lastpage
    588
  • Abstract
    This paper presents a method for the real-time estimation of parameters and unineasured stares itsing an Extended Kalman Filter ( EKF). The EKF is based un a numerically stable model of the induction motor. The algoritltnt can be used to adapt paranteters that vary with time and for estinwtion of the rotor fluxes. Experimental results to show the ability of rhe a&orithni tu estintafe the nrotor states and parameters are presented
  • Keywords
    Costs; Filters; Induction motors; Numerical models; Parameter estimation; Rotors; State estimation; Stators; Testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering, 2004. (ICEEE). 1st International Conference on
  • Conference_Location
    Acapulco, Mexico
  • Print_ISBN
    0-7803-8531-4
  • Type

    conf

  • DOI
    10.1109/ICEEE.2004.1433952
  • Filename
    1433952
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3244714