• DocumentCode
    24023
  • Title

    Parameter Identification of Linear Induction Motor Model in Extended Range of Operation by Means of Input-Output Data

  • Author

    Alonge, F. ; Cirrincione, M. ; D´Ippolito, Filippo ; Pucci, M. ; Sferlazza, A.

  • Author_Institution
    DIEETCAM, Univ. degli Studi di Palermo, Palermo, Italy
  • Volume
    50
  • Issue
    2
  • fYear
    2014
  • fDate
    March-April 2014
  • Firstpage
    959
  • Lastpage
    972
  • Abstract
    This paper proposes a technique for the off-line estimation of the electrical parameters of the equivalent circuit of linear induction machines (LIM), taking into consideration the end effects, and focuses on the application of an algorithm based on the minimization of a suitable cost function involving the differences of measured and computed by simulation inductor current components. This method exploits an entire start-up transient of the LIM to estimate all the 4 electrical parameters of the machine (Rs, Ls, σLs, Tr). It proposes also a set of tests to be made to estimate the variation of the magnetic parameters of the LIM versus the magnetizing current as well as the magnetizing curve of the machine. Moreover, a methodology for the estimation of the mechanical parameters of the model is proposed as well. The proposed methodology has been verified experimentally on suitably developed test set-up.
  • Keywords
    equivalent circuits; induction motors; linear motors; parameter estimation; transient analysis; LIM; cost function; electrical parameters; equivalent circuit; inductor current components; linear induction machines; linear induction motor model; magnetic parameters; magnetizing current; parameter identification; start-up transient; Computational modeling; Equivalent circuits; Estimation; Inductors; Mathematical model; Parameter estimation; Resistance; Identification; linear induction machine (LIM); parameter estimation;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2013.2272051
  • Filename
    6553188