• DocumentCode
    3217732
  • Title

    PMSG maximum wind power tracking control based on T-S fuzzy method

  • Author

    An, Aimin ; Guoqiang Yang ; Haochen Zhang ; Peidong Du

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    2844
  • Lastpage
    2849
  • Abstract
    A novel control strategy for capturing maximum wind energy under multi-operating condition based on T-S fuzzy model method is proposed in this paper. Firstly, the T-S fuzzy model of the permanent magnet synchronous wind power generator (PMSG) is constructed under multi-operating condition. The state observer is designed for estimating the states accurately with considering the random wind disturbances existence. Meanwhile, the Lyapunov stability theory and the parallel distributed compensation(PDC) strategy are used to track maximum wind power steadily in real time. The gain of the proposed controller and state observer are solved through linear matrix inequality(LMI) method. The simulation results demonstrated that the performance of the proposed control strategy is significantly better than PI method, and the maximum wind power tracking can be reached effectively.
  • Keywords
    Lyapunov methods; PI control; compensation; fuzzy control; linear matrix inequalities; permanent magnet generators; permanent magnet motors; power generation control; synchronous motors; wind power plants; LMI method; Lyapunov stability theory; PDC strategy; PI method; PMSG maximum wind power tracking control strategy; T-S fuzzy model method; linear matrix inequality method; maximum wind energy capturing; multioperating condition; parallel distributed compensation strategy; permanent magnet synchronous wind power generator; random wind disturbances; state estimation; state observer; state observer design; Mathematical model; Observers; Permanent magnets; Wind energy; Wind power generation; Wind speed; Wind turbines; Lyapunov stability theory; Maximum wind power tracking; Parallel distributed compensation strategy; Permanent magnet synchronous generator; T-S fuzzy model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162412
  • Filename
    7162412