• DocumentCode
    1645418
  • Title

    Parameters Optimization of GPC Based on Swarm Algorithm

  • Author

    Ping, Zhang ; Youhua, Wang ; Xinpeng, Nie ; Dianli, Lv

  • Author_Institution
    Hebei Univ. of Technol., Hebei
  • fYear
    2007
  • Firstpage
    125
  • Lastpage
    128
  • Abstract
    In this paper, the zeros of plant are decomposed into non-minimum phase zeros and minimum phase zeros; a new predictive equation is built. Combining generalized predictive control function with PID structure, and then optimizing the parameters of PID cost function based on swarm algorithm, thereby a new predictive algorithm is gained on the basis of introducing a restraining overshoot predictive method and model error amendment. Simulation results show this algorithm improves the controlling performance greatly, increases instantaneous respond.
  • Keywords
    optimisation; predictive control; three-term control; GPC; PID structure; generalized predictive control function; model error amendment; nonminimum phase zeros; parameters optimization; swarm algorithm; Automation; Cost function; Equations; Error correction; Optimization methods; Polynomials; Prediction algorithms; Predictive control; Predictive models; Three-term control; GPC; Non-minimum system; PID cost function; Parameters Optimization; Swarm Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2007. CCC 2007. Chinese
  • Conference_Location
    Hunan
  • Print_ISBN
    978-7-81124-055-9
  • Electronic_ISBN
    978-7-900719-22-5
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.4347097
  • Filename
    4347097