• DocumentCode
    2934833
  • Title

    Optimization Output Voltage of SRG Wind Power Generation System

  • Author

    Liu Xiang ; Yi LingZhi

  • Author_Institution
    Coll. of Inf. Eng., Xiangtan Univ., Xiangtan, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    SRG is a complex nonlinear dynamic motor. Conventional methods can´t build it model accurately; bring the controls a great deal of inconvenience. In this paper, 8/6 switched reluctance generator will be mentioned; Application of Fuzzy Logic Controller (FLC) is studied in this paper to control the DC-link voltage of Switched Reluctance Generator (SRG) wind power generation system. The design of fuzzy logic control is based on linguistic rules, which depends more on expert knowledge of the designer instead on the precise characteristics of the machine. Compared with the PI controller, the superiority of the fuzzy logic controller is confirmed, and verified by MATLAB/SIMULINK.
  • Keywords
    fuzzy control; machine control; power generation control; reluctance generators; reluctance motors; voltage control; wind power plants; DC-link voltage control; FLC; SRG wind power generation system; complex nonlinear dynamic motor; fuzzy logic controller; output voltage optimization; switched reluctance generator; Fuzzy logic; Niobium; Reluctance generators; Switches; Voltage control; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748794
  • Filename
    5748794