• DocumentCode
    529733
  • Title

    Evolutionary identification using closed-loop data for a mechanical system

  • Author

    Kawada, Kazuo ; Yamamoto, Toru

  • Author_Institution
    Dept. of Technol. & Inf. Educ., Hiroshima Univ., Hiroshima, Japan
  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    1065
  • Lastpage
    1070
  • Abstract
    In this paper, a new system identification method is proposed using genetic algorithm(GA), which the operating data, that is, closed-loop data, is utilized. Not only system parameters but also control parameters are estimated using the GA. Then, since control parameters are known, the reliability of estimates is evaluated in comparison of the estimates with true control parameters. In order to evaluate the effectiveness of the proposed scheme, it is employed for the sway control of crane system.
  • Keywords
    closed loop systems; cranes; genetic algorithms; identification; closed loop data; crane system; evolutionary identification; genetic algorithm; mechanical system; sway control; system identification method; Computational modeling; Control systems; Cranes; Gallium; Load modeling; Mathematical model; System identification; crane; evolutionary computation; system identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference 2010, Proceedings of
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-7642-8
  • Type

    conf

  • Filename
    5603108