• DocumentCode
    3030509
  • Title

    Application of The Fuzzy-PID to The Power Plant

  • Author

    Li, Xiao-Feng ; Sun, Li Jian ; Wu, Hui-Yan ; Zong, Wei-Dong

  • Author_Institution
    Guangdong Power Test & Res. Inst., Guangzhou
  • fYear
    2007
  • fDate
    24-27 June 2007
  • Firstpage
    210
  • Lastpage
    215
  • Abstract
    To improve the control quality of conventional PID controller used in complex control system, a new design strategy of fuzzy-PID controller is proposed by utilizing the advantages of both fuzzy and auto tuning PID controls and their mutual compensation. The tuning method based on the specified phase and gain margin is proposed to determine the parameters of the new fuzzy self-adjusting PID controllers, to cope with a modern power plant with working condition changing frequently and strong dynamic time-varying nonlinear property. Using fuzzy inference methods, the fuzzy PID parameters can be adaptively adjusted on line for varying state of the system and changing operating condition. The strategy, which is implemented based on the function code on many typical DCS. The industrial application results show that many complex control system that uses this design strategy can effectively reduce the debugging time and has better control performance.
  • Keywords
    compensation; fuzzy control; nonlinear control systems; power plants; power station control; power system control; self-adjusting systems; three-term control; time-varying systems; auto tuning PID control; compensation; dynamic time-varying nonlinear property; fuzzy inference; fuzzy-PID controller; power plant; self-adjusting control; Control systems; Distributed control; Electrical equipment industry; Employee welfare; Fuzzy control; Fuzzy systems; Industrial control; Nonlinear dynamical systems; Power generation; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-1213-7
  • Electronic_ISBN
    1-4244-1214-5
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2007.383839
  • Filename
    4271062