• DocumentCode
    3584746
  • Title

    Parametric identification of induction machine classic and fractional park model

  • Author

    Hammami, Rahma ; Khadhraoui, Abir ; Jelassi, Khaled ; Ben Ameur, Imene

  • Author_Institution
    ENIT-L.S.E., Univ. de Tunis El Manar, Tunis, Tunisia
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper deals with identification of conventional and fractional park´s model of induction machine. Output error identification method, based on Levenberg Marquardt algorithm is used to identify machine´s parameters. Identification algorithms are implemented without any prior information and by considering the direct approach. An illustrative example is presented to show the efficiency of methods and comparative remarks between the two models are also given. Monte Carlo simulations are used to demonstrate the validity of theoretical method.
  • Keywords
    Monte Carlo methods; asynchronous machines; Levenberg Marquardt algorithm; Monte Carlo simulations; error identification; fractional park model; identification algorithms; induction machine; parametric identification; Algorithm design and analysis; Gold; Induction machines; Minimization; Rotors; Silicon; Zinc; Fractional integration operator; Induction Machine; fractional impedance; non integer order model; output error identification; skin effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Sciences and Technologies in Maghreb (CISTEM), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/CISTEM.2014.7076962
  • Filename
    7076962