• DocumentCode
    2220092
  • Title

    Gain-scheduled Linear Quadratic Control of Wind Turbines Operating at High Wind Speed

  • Author

    Østergaard, Kasper Zinck ; Brath, Per ; Stoustrup, Jakob

  • Author_Institution
    Loads, Aerodynamics & Control, Vestas Wind Syst., Randers
  • fYear
    2007
  • fDate
    1-3 Oct. 2007
  • Firstpage
    276
  • Lastpage
    281
  • Abstract
    This paper addresses state estimation and linear quadratic (LQ) control of variable speed variable pitch wind turbines. On the basis of a nonlinear model of a wind turbine, a set of operating conditions is identified and a LQ controller is designed for each operating point. The controller gains are then interpolated linearly to get a control law for the entire operating envelope. The states and the gain-scheduling variable are not online available and an observer is designed. This is done in a modular approach in which a linear estimator is used to estimate the non-measured state variables and the unknown input, aerodynamic torque. From the estimated aerodynamic torque and rotor speed and measured pitch angle the scheduling variable effective wind speed is calculated by inverting the aerodynamic model. Simulation results are given that display good performance of the observers and comparisons with a controller designed by classical methods display the potential of the method.
  • Keywords
    aerodynamics; estimation theory; linear quadratic control; nonlinear control systems; power station control; state estimation; torque control; velocity control; wind power plants; wind turbines; aerodynamic torque estimation; gain-scheduled linear quadratic control; high speed wind turbine; interpolation; nonlinear model; nonmeasured state variable estimation; Aerodynamics; Design methodology; Displays; Goniometers; Observers; State estimation; Torque measurement; Velocity measurement; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2007. CCA 2007. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0442-1
  • Electronic_ISBN
    978-1-4244-0443-8
  • Type

    conf

  • DOI
    10.1109/CCA.2007.4389243
  • Filename
    4389243