• DocumentCode
    2904711
  • Title

    Adaptive Disturbance Tracking theory with state estimation and state feedback for region II control of large wind turbines

  • Author

    Balas, Mark J. ; Magar, Kaman S. Thapa ; Frost, Susan A.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Wyoming, Laramie, WY, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    2220
  • Lastpage
    2226
  • Abstract
    A theory called Adaptive Disturbance Tracking Control (ADTC) is introduced and used to track the Tip Speed Ratio (TSR) of 5 MW Horizontal Axis Wind Turbine (HAWT). Since ADTC theory requires wind speed information, a wind disturbance generator model is combined with lower order plant model to estimate the wind speed as well as partial states of the wind turbine. In this paper, we present a proof of stability and convergence of ADTC theory with lower order estimator and show that the state feedback can be adaptive.
  • Keywords
    adaptive control; machine control; state estimation; state feedback; wind turbines; ADTC theory; HAWT; TSR; adaptive disturbance tracking control; adaptive disturbance tracking theory; horizontal axis wind turbine; lower order estimator; state estimation; state feedback; tip speed ratio; wind disturbance generator model; wind speed information; wind turbines; Electronic mail; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580165
  • Filename
    6580165