• DocumentCode
    3229087
  • Title

    The Research and Application of Fuzzy Immune PID Control in the Load Control System of Tube Mill

  • Author

    Yuan, Guili ; Liu, Jizhen ; Tan, Wen ; Liu, Xiangjie

  • Author_Institution
    North China Electr. Power Univ., Beijing
  • Volume
    3
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    222
  • Lastpage
    226
  • Abstract
    Aiming at the tube mill load controlled object with the characteristics of large delay, large inertia, nonlinear and time-variant, we design a tube mill load control system basing at fuzzy immune PID control. The system combines with the cascade control and fuzzy immune PID control, adopts P control in the inner loop and fuzzy immune PID control in the outer loop, takes fully advantage of the cascade control, fuzzy control, immune feedback control and PID control, which makes the system not only have better track ability but also stronger robust and anti-disturbance .In order to show the superior of the control strategy, simultaneously the paper carry out cascade PID control. Simulation, the result manifests that the control effect has better regulation-quality than cascade PID control, what´s more, the control algorithm is very simple and practical.
  • Keywords
    cascade control; control system synthesis; delay systems; fuzzy control; load regulation; milling; nonlinear control systems; pipes; power plants; robust control; three-term control; cascade control; fuzzy immune PID control; immune feedback control; large delay characteristic; large inertia characteristic; nonlinear characteristic; power plant; regulation quality; time-variant characteristic; tube mill load control system design; Control systems; Delay; Feedback control; Fuzzy control; Fuzzy systems; Load flow control; Milling machines; Nonlinear control systems; Three-term control; Tracking loops;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.218
  • Filename
    4287853