• DocumentCode
    2753482
  • Title

    Identification of induction motor parameters

  • Author

    Pappano, V. ; Lyshevski, S.E. ; Friedland, B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    989
  • Abstract
    In this paper, a model-based mapping identification concept is used to identify the unknown parameters of induction motors using transient dynamics. The reported state-space identification scheme can be applied to a wide class of nonlinear multivariable continuous-time dynamic systems. To illustrate the analytical results and to demonstrate the practical capabilities, the unknown motor parameters are identified for a voltage-fed squirrel-cage induction motor, under the assumption that the state vector is available for measurement
  • Keywords
    induction motors; multivariable systems; nonlinear systems; parameter estimation; state-space methods; transients; induction motor parameter identification; model-based mapping identification concept; nonlinear multivariable continuous-time dynamic systems; state-space identification scheme; transient dynamics; voltage-fed squirrel-cage induction motor; Control systems; Couplings; Induction motors; Magnetic flux; Mathematical model; Motion control; Nonlinear dynamical systems; Stators; Vehicle dynamics; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.760825
  • Filename
    760825