• DocumentCode
    2280693
  • Title

    Simulation of PMSG wind turbine system with sensor-less control technology based on model reference adaptive system

  • Author

    Liu, Weiliang ; Chen, Lei ; Ou, Jing ; Cheng, Shukang

  • Author_Institution
    Dept. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
  • fYear
    2011
  • fDate
    20-23 Aug. 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Model reference adaptive system(MRAS) is introduced in speed estimation for salient pole permanent magnet generator(PMSG) in wind turbine system. Firstly, current model for the salient pole PMSG is established and used as adjustable model, and the salient pole PMSG itself is used as reference model, then the adaptive law is derived. The estimated speed is used for the control of PMSG wind turbine system with full power back to back PWM converters, and maximum wind power point tracking is achieved through the specified optimum torque of PMSG. Simulation model of wind turbine system is built to verify the sensor-less control technology, in which the PMSG uses finite element model. And the simulation results show that the MRAS sensor-less control strategy has a good performance with nonlinear magnetic field of PMSG fully considered.
  • Keywords
    PWM power convertors; finite element analysis; magnetic fields; maximum power point trackers; model reference adaptive control systems; permanent magnet generators; power generation control; sensorless machine control; synchronous generators; wind turbines; MRAS; PMSG optimum torque; PMSG wind turbine system; PWM power converter; finite element model; maximum wind power point tracking; model reference adaptive system; nonlinear magnetic field; salient PMSG; salient pole permanent magnet synchronous generator; sensorless control technology; speed estimation; Adaptation models; Equations; Generators; Mathematical model; Permanent magnets; Wind power generation; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-1044-5
  • Type

    conf

  • DOI
    10.1109/ICEMS.2011.6073826
  • Filename
    6073826