• DocumentCode
    2755031
  • Title

    Control-oriented modelling of wind turbines using a Takagi-Sugeno model structure

  • Author

    Georg, Sören ; Schulte, Horst ; Aschemann, Harald

  • Author_Institution
    Dept. of Eng. I, HTW Berlin, Berlin, Germany
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    For a horizontal-axis wind turbine (HAWT), a dynamic nonlinear model with four degrees of freedom is derived and transformed into a Takagi-Sugeno (TS) model structure using the sector nonlinearity approach. Thereby, an exact transformation of the nonlinear model is obtained as a weighted combination of linear models. This structure allows for a convenient design of controller and observer structures. The maps of the rotor thrust and torque coefficients can be implemented in the model as look-up tables or, alternatively, as analytical nonlinear functions. Open-loop simulation results of the derived TS model for a reference model turbine are compared to those obtained with the aero-elastic code FAST. The small deviations obtained demonstrate the high model quality of the control-oriented TS model. In future work, the derived TS model shall be used as a basis for the design of fault detection and isolation (FDI) concepts.
  • Keywords
    control nonlinearities; fuzzy control; nonlinear control systems; open loop systems; power system control; rotors; torque control; wind turbines; FDI concept; HAWT; TS model structure; Takagi-Sugeno model structure; aero-elastic code FAST; analytical nonlinear function; control-oriented modelling; dynamic nonlinear model; fault detection; fault isolation; horizontal-axis wind turbine; look-up table; open-loop simulation; rotor thrust; sector nonlinearity approach; torque coefficient; Aerodynamics; Blades; Generators; Mathematical model; Poles and towers; Rotors; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4673-1507-4
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2012.6251302
  • Filename
    6251302