• DocumentCode
    1360400
  • Title

    Identification of the Induction Motor in Sinusoidal Mode

  • Author

    Laroche, Edouard ; Boutayeb, Mohamed

  • Author_Institution
    Lab. des Sci. de l´´Image de l´´nformatique et de la Teledetection (LSIIT), Strasbourg Univ., Illkirch, France
  • Volume
    25
  • Issue
    1
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    11
  • Lastpage
    19
  • Abstract
    This paper presents an original method for estimation of the induction motor parameters, including iron loss, with measurements in the sinusoidal steady-state mode. Based on a change of parameter yielding a model that is linear with respect to the new set of parameters, this method allows parameter estimation with low computation cost and without being concerned by local minima problems. This method is evaluated and compared with two other methods from the literature, which are also based on sinusoidal steady-state measurements: a standard method based on two elementary tests and a method where parameters are estimated through minimization of a nonconvex distance criterion with a nonlinear programming algorithm. For the considered methods, sensitivities to measurement and modeling errors are evaluated, emphasizing the performances of the original method. Experimental results, obtained on a setup of 1.5 kW rated power, are provided.
  • Keywords
    induction motors; nonlinear programming; parameter estimation; elementary tests; induction motor identification; iron loss; local minima problems; nonconvex distance criterion; nonlinear programming algorithm; parameter estimation; power 1.5 kW; sinusoidal steady-state measurements; sinusoidal steady-state mode; Estimation error; identification; induction motor; parameter estimation; robustness;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2009.2035512
  • Filename
    5356211