• DocumentCode
    582721
  • Title

    Active Disturbance Rejection Control for chaotic permanent magnet synchronous generator for wind power system

  • Author

    Lina, Ren ; Fucai, Liu ; Yafei, Jia

  • Author_Institution
    Key Lab. of Ind. Comput. Control Eng. of Hebei Province, West Campus of Yanshan Univ., Qinhuangdao, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    6878
  • Lastpage
    6882
  • Abstract
    The chaotic behavior in the permanent magnet synchronous generator for wind turbine system is investigated, and the Active Disturbance Rejection Contro(ADRC) strategy is proposed to suppress chaotic behavior and make operating stably. Firstly, the permanent magnet synchronous generator of wind power system is transformed into a model which is similar to Lorenz through a series of transforms, and is demonstrated existing chaotic phenomena when its parameters falling into a certain range of values. The ADRC controller was proposed to suppress chaos and to drive it to desire value for obtaining maximum wind power, meanwhile to solve problems of existing uncertainty parameters in wind turbine system by taking full use of ADRC´s not relying on accurate mathematical model. The proposed strategy is proved valid by the simulation illustration.
  • Keywords
    chaos generators; machine control; permanent magnet generators; synchronous generators; wind power plants; wind turbines; ADRC controller strategy; active disturbance rejection control; chaotic behavior suppression; chaotic permanent magnet synchronous generator; mathematical model; uncertainty parameters; wind power system; wind turbine system; Chaos; Control systems; Mathematical model; Permanent magnets; Rotors; Wind power generation; Wind turbines; Active Disturbance Rejection Control (ADRC); Wind power system; chaos control; permanent magnet synchronous generator (PMSG);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6391151