• DocumentCode
    2363995
  • Title

    Two degree-of-freedom of self-tuning GPC for m-input m-output systems by using a genetic algorithm

  • Author

    Yanou, Akira ; Deng, Mingcong

  • Author_Institution
    Fac. of Eng., Okayama Univ., Okayama, Japan
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    1831
  • Lastpage
    1836
  • Abstract
    This paper proposes a design method of two degree-of-freedom of self-tuning GPC for m-input m-output systems by using a genetic algorithm. The genetic algorithm gives a solution of integral gain in two degree-of-freedom of self-tuning GPC. When the identified plant parameters converge on true values, the proposed method reveals the effect of the integral compensation only if there is modeling error or disturbance. Therefore the performance degradation caused by integral compensation can be avoided.
  • Keywords
    MIMO systems; compensation; control system synthesis; genetic algorithms; predictive control; self-adjusting systems; generalized predictive control; genetic algorithm; integral compensation; m-input m-output systems; self-tuning GPC; Automation; Conferences; Mechatronics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5588745
  • Filename
    5588745