• DocumentCode
    2512531
  • Title

    Modified fuzzy adaptive PID algorithm and its application in power plant

  • Author

    Hou, Guolian ; Hou, Qian ; Zhang, Jianhua

  • Author_Institution
    Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    651
  • Lastpage
    656
  • Abstract
    The characteristics of thermal plant are nonlinearity, time variation and uncertainty during variable condition. It is difficult to obtain the satisfying control effect with traditional PID controller. In order to solve this problem, a modified fuzzy adaptive PID control algorithm is proposed in the paper. The method is attained by optimizing the traditional fuzzy PID control algorithm based on analysis of the thought of changing universe and online self-tuning. Under the premise of unchanging rules number, make whole universe changes in synchronization with error change, and online adjust the fuzzy PID parameters. So the fuzzy rules of proposed controller are online dynamic adjustment. A series of simulation are tested. The simulation results indicate that, compared with conventional PID control method, the proposed method can not only shorten the step input response time, but also have stronger adaptive capability to the unknown disturbance, parameter time variable character and nonlinear of the system. The proposed algorithm can obtain satisfactory dynamic and stationary performances.
  • Keywords
    adaptive control; fuzzy control; nonlinear control systems; power station control; self-adjusting systems; thermal power stations; three-term control; fuzzy adaptive PID algorithm; online dynamic adjustment; online selftuning; parameter time variable character; power plant; system nonlinearity; thermal plant; Adaptation models; Control systems; Heuristic algorithms; Power generation; Process control; Simulation; Stability analysis; Adaptive Control; Modified Fuzzy PID; Power Plant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968263
  • Filename
    5968263