• DocumentCode
    2416686
  • Title

    An approach of parameter identification for asynchronous machine

  • Author

    Li, Y.M. ; Bergmann, C. ; Feuvrie, B.

  • Author_Institution
    IUT de Nantes, France
  • Volume
    3
  • fYear
    1996
  • fDate
    5-10 Aug 1996
  • Firstpage
    1711
  • Abstract
    This work deals with the parameter identification of asynchronous machines in cases where the motor is rotating and at standstill. In this work, an optimal exciting input signal is determined by methods of optimization to give a best trajectory of the system. Integration is applied to a differential equation model to avoid the wrong information caused by a derivative operation on noise. Instrumental variable estimation is introduced to improve the quality of identification by least-square estimation. Experimental results are given. The work is achieved with MATLAB Toolbox
  • Keywords
    asynchronous machines; differential equations; electric machine analysis computing; least squares approximations; machine theory; parameter estimation; software packages; MATLAB Toolbox; asynchronous machines; computer simulation; differential equation model; instrumental variable estimation; least-square estimation; optimal exciting input signal; parameter identification; rotation; standstill; Differential equations; Filters; Frequency; Instruments; MATLAB; Mathematical model; Noise measurement; Optimization methods; Parameter estimation; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    0-7803-2775-6
  • Type

    conf

  • DOI
    10.1109/IECON.1996.570674
  • Filename
    570674