• DocumentCode
    2853539
  • Title

    Fuzzy PID Controller for Wind Turbines

  • Author

    Xiao Cheng ; Zhang Lei ; Yan Junqiu

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Hebei Univ. of Technol., Tianjin, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    74
  • Lastpage
    77
  • Abstract
    PID and fuzzy PID controller are applied into the wind turbine with nonlinear mathematical model. PID control has simple principle and its parameters setting are rather easy. Fuzzy control need not to establish the mathematical of the control system and has strong robustness. Fuzzy PID control is combined with PID control and fuzzy control. The advantages of fuzzy PID control are simple, easy in setting parameters and strong robustness. Fuzzy PID controller combines with closed-loop optimal fuzzy reasoning (COFR), which can effectively improve the robustness, when the robustness is special requirement. MATLAB software is used for simulations, results display that fuzzy PID controller which combines with COFR has better performances than PID controller when errors exist, especially robustness performance.
  • Keywords
    closed loop systems; fuzzy control; power generation control; three-term control; wind turbines; MATLAB software; PID control; closed-loop optimal fuzzy reasoning; fuzzy control; nonlinear mathematical model; wind turbines; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy sets; MATLAB; Mathematical model; Optimal control; Robust control; Three-term control; Wind turbines; closed-loop optimal fuzzy reasoning; fuzzy PID controller; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.28
  • Filename
    5365550