• DocumentCode
    3586057
  • Title

    Identification of the PEA hysteresis property using a fractional order model

  • Author

    Rebai, Aissa ; Guesmi, Kamel ; Gozim, Djamal ; Hemici, Boualem

  • Author_Institution
    Nat. Polytech. Sch. of Algiers, Algiers, Algeria
  • fYear
    2014
  • Firstpage
    1038
  • Lastpage
    1043
  • Abstract
    This paper deals with the identification of the hysteresis property existing in piezoelectric actuators (PEA). In this paper, a fractional order model is used with the Recursive Least Squares (RLS) algorithm extended to fractional order models. The proposed approach is validated through numerical simulations and a comparison study is carried out to evaluate its performances.
  • Keywords
    hysteresis; identification; least squares approximations; piezoelectric actuators; recursive functions; PEA hysteresis property identification; RLS algorithm; fractional order model; piezoelectric actuators; recursive least squares algorithm; Adaptation models; Computational modeling; Hysteresis; Mathematical model; Piezoelectric actuators; Sensors; Fractional order model; Hysteresis; Piezoelectric actuator; Recursive least squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 15th International Conference on
  • Type

    conf

  • DOI
    10.1109/STA.2014.7086665
  • Filename
    7086665
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3586057