• DocumentCode
    2477510
  • Title

    Fuzzy Immune Adaptive Smith-PID Control for Water Quality Adjusting System of Thermal Power Plant

  • Author

    Peng Shu-Hua ; Hao Cui ; Li Deng-Hua

  • Author_Institution
    Autom. Sch., Beijing Inf. Sci. & Technol. Univ., Beijing, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Water quality adjusting system of thermal power plant is a large time-delay and time-varying controlled object. The control quality of the Fuzzy immune adaptive control and conventional Smith control is not satisfied. In order to solve the time-delay and time-varying problem, a fuzzy immune adaptive Smith-PID controller is presented. The controller combines biological immune system and fuzzy inference with Smith prediction controller. Fuzzy immune P regulator was used to setting the proportional gain of the PID controller in real-time. Fuzzy controller was used to setting the integration time constant and the differential time constant. And Smith controller was used to predict the time-delay. Simulation results showed that this control algorithm have the advantages of short settling time, strong stability, strong noise immunity.
  • Keywords
    adaptive control; artificial immune systems; controllers; fuzzy control; fuzzy reasoning; thermal power stations; three-term control; time-varying systems; water quality; Smith prediction controller; biological immune system; differential time constant; fuzzy controller; fuzzy immune P regulator; fuzzy immune adaptive smith-PID control; fuzzy inference; integration time constant; thermal power plant; time delay; time varying controlled object; water quality adjusting system; Adaptive control; Biological control systems; Control systems; Fuzzy control; Fuzzy sets; Fuzzy systems; Immune system; Power generation; Programmable control; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473245
  • Filename
    5473245