• DocumentCode
    232699
  • Title

    Application of multirate sampling approach in pitch control of wind generator systems

  • Author

    Yang Wentao ; Geng Hua ; Yang Geng ; Xiao Shuai

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    6969
  • Lastpage
    6972
  • Abstract
    Pitch control is very important for variable-speed variable-pitch wind generator systems (VSVP-WGSs) working in high wind speed region. Dynamic inversion control is an emerging method applied in this situation. As the dynamic inversion method is very sensitive to parameters accuracy, a dynamic inversion control strategy based on multirate sampling is proposed in this paper. Multirate sampling method can be applied in the control of VSVP-WGSs in high wind speed region and provide good system performance even with parameter uncertainty. This approach simplifies the wind generator to two-mass model. This model is closer to the real system than the first-order dynamic model. Compared with traditional dynamic inversion controllers, the proposed method can increase system margin and guarantee the system with a better performance when parameters or external conditions change. These capabilities of the controller have been verified by analysis and simulation.
  • Keywords
    control system synthesis; electric generators; multivariable control systems; nonlinear dynamical systems; sampling methods; spatial variables control; wind power plants; VGVP; WGS; dynamic inversion control method; dynamic model; multirate sampling approach; parameter uncertainty; parameters accuracy; pitch control; system margin; two-mass model; variable speed variable pitch; wind generator systems; wind speed region; Generators; Robustness; State feedback; Torque; Wind speed; Wind turbines; dynamic inversion; multirate sampling; nonlinear system; pitch control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896149
  • Filename
    6896149