• DocumentCode
    1764975
  • Title

    Improved sliding mode model reference adaptive system speed observer for fuzzy control of direct-drive permanent magnet synchronous generator wind power generation system

  • Author

    Jianhu Yan ; Heyun Lin ; Yi Feng ; Xun Guo ; Yunkai Huang ; Zhu, Z.Q.

  • Author_Institution
    Servo Control Eng. Center of Educ. Minist., Southeast Univ., Nanjing, China
  • Volume
    7
  • Issue
    1
  • fYear
    2013
  • fDate
    41306
  • Firstpage
    28
  • Lastpage
    35
  • Abstract
    This study presents an improved sliding mode model reference adaptive system (SM-MRAS) speed observer for the fuzzy control of direct-drive wind power generation system with a permanent magnet synchronous generator (PMSG). The SM-MRAS speed sensorless observer is described and the corresponding algorithm is derived. The designed fuzzy controller is compared with the conventional PI controller by simulations and experiments. A dc motor is controlled to simulate the wind turbine and an active machine-side converter with space vector pulse width modulation control is adopted to realise the maximum power extraction. A 250-W PMSG experimental platform is built and the experiment results verify the validity of the proposed SM-MRAS speed observer.
  • Keywords
    DC motor drives; PI control; PWM power convertors; angular velocity control; control system synthesis; fuzzy control; model reference adaptive control systems; observers; permanent magnet generators; power generation control; sensorless machine control; synchronous generators; synchronous motor drives; variable structure systems; wind power plants; wind turbines; PI controller; PMSG; SM-MRAS speed sensorless observer; dc motor; direct-drive permanent magnet synchronous generator; fuzzy controller design; improved sliding mode model reference adaptive system; machine-side converter; maximum power extraction; power 250 W; space vector pulse width modulation control; wind power generation system; wind turbine;
  • fLanguage
    English
  • Journal_Title
    Renewable Power Generation, IET
  • Publisher
    iet
  • ISSN
    1752-1416
  • Type

    jour

  • DOI
    10.1049/iet-rpg.2012.0081
  • Filename
    6483178