• DocumentCode
    2438328
  • Title

    Application of Fuzzy Immune PID Control Based on PSO in Hydraulic AGC Press System

  • Author

    Ren, Xinyi ; Fengshan Du ; Huang, Huagui ; Yan, Hongyan

  • Author_Institution
    Inst. of Mech. Eng., Yanshan Univ., Qinhuangdao, China
  • Volume
    2
  • fYear
    2009
  • fDate
    26-27 Aug. 2009
  • Firstpage
    427
  • Lastpage
    430
  • Abstract
    A novel control strategy of Fuzzy-Immune PID based on PSO is proposed in this paper. The strategy learns from the immune feedback principle of biological immune system and takes advantage of the good approaching ability of fuzzy control to achieve nonlinear function of the immune controller, and then the PSO algorithm is used to optimize parameters of PID controller and immune controller. Apply the strategy into the hydraulic AGC control system of rolling mills with characteristics of high nonlinearity, time-varying and time-delay. The simulation results indicate that this strategy has strong adaptability to the transformation of the system parameters and has advantages of low overshoot, short adjusting time, strong anti-disturbance ability and great robustness.
  • Keywords
    control nonlinearities; delays; fuzzy control; hydraulic systems; rolling mills; three-term control; time-varying systems; PSO algorithm; biological immune system; fuzzy immune PID control; hydraulic AGC control system; hydraulic AGC press system; immune controller nonlinear function; immune feedback principle; rolling mills; time-delay system; time-varying system; Biological control systems; Control systems; Feedback; Fuzzy control; Fuzzy systems; Immune system; Milling machines; Nonlinear control systems; Three-term control; Time varying systems; Adaptive control; Fuzzy-immune PID; Hydraulic AGC; PSO algorithm; Time-varying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
  • Conference_Location
    Hangzhou, Zhejiang
  • Print_ISBN
    978-0-7695-3752-8
  • Type

    conf

  • DOI
    10.1109/IHMSC.2009.229
  • Filename
    5335952