• DocumentCode
    2459708
  • Title

    Research on fuzzy PI control for switched reluctance wind power inverter with SVPWM

  • Author

    NguyenXuan Truong ; Wang, Honghua ; Ngu, NguyenViet

  • Author_Institution
    Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    4342
  • Lastpage
    4345
  • Abstract
    Switched reluctance generator (SRG) is a new type generator with excellent performances such as high efficient, sturdy and durable. There are broad prospects for wind power of switched reluctance generator. Considering the nonlinear characteristics of SRG wind power system, the advanced control algorithm such as intelligent control algorithm should be used to overcome the limitation of normal PI algorithm. In this paper, a fuzzy-PI controller for SRG wind power system with three-phase SVPWM inverter is researched, and simulation model of SRG wind power with three-phase SVPWM inverter with fuzzy-PI control algorithm is set up based on MATLAB SIMULINK/POWER SYSTEM. The simulation results given in this paper verify the fuzzy-PI control algorithm combines the advantages of the fuzzy control and PI control. Compared with normal PI controller, the fuzzy-PI control algorithm possesses a better dynamic response and the accuracy of the steady-state and robustness for nonlinear SRG wind power system with three-phase SVPWM inverter.
  • Keywords
    PI control; PWM invertors; fuzzy control; intelligent control; power generation control; wind power plants; Matlab Simulink-power system; SRG wind power system; fuzzy PI control; intelligent control algorithm; switched reluctance generator; switched reluctance wind power inverter; three-phase SVPWM inverter; Heuristic algorithms; Integrated circuits; Inverters; Niobium; Space vector pulse width modulation; Switches; Wind power generation; Space Vector Pulse Width Modulation (SVPWM); Switched reluctance wind power; fuzzy PI; inverter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965292
  • Filename
    5965292