• DocumentCode
    2268345
  • Title

    Nonlinear tracking controller of variable speed wind turbines with the parameter adjusted by fuzzy logic

  • Author

    Wei, Zheng ; Minghui, Yin ; Baozhu, Du ; Weijie, Li ; Lingke, Zhou

  • Author_Institution
    School of Automation, Nanjing University of Science and Technology, 210094, China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    7934
  • Lastpage
    7938
  • Abstract
    Based on the analysis of the wind turbine model characteristics, the essence of the maximum wind energy tracking problem of variable speed wind turbines is transformed into controlling the rotor speed to track the optimal rotor speed. The generator torque is used as a control input to force the wind turbine to stay close to the maximum energy point in the below-rated power region. In this paper, a nonlinear tracking controller of variable speed wind turbines with a fuzzy logic adjustable parameter is proposed, which does not need wind speed measurement and avoids the complex linearization. The controller makes the wind turbines output more power and the mechanical loads acceptable, which is verified in the simulation using the FAST (Fatigue, Aerodynamics, Structures, and Turbulence) code.
  • Keywords
    Aerodynamics; Fuzzy logic; Generators; Rotors; Torque; Wind speed; Wind turbines; fuzzy logic; maximum energy capture; nonlinear tracking control; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7260901
  • Filename
    7260901