• DocumentCode
    686562
  • Title

    Sensorless vector control for high-speed permanent magnet disk synchronous motors

  • Author

    Ji-huan Wang ; Su-Dan Huang ; Guang-Zhong Cao ; Yun Wang

  • Author_Institution
    Shenzhen Key Lab. of Electromagn. Control, Shenzhen Univ., Shenzhen, China
  • fYear
    2013
  • fDate
    11-13 Dec. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A sensorless vector control method for high-speed permanent magnet disk synchronous motors (PMDSM) is presented based on the improved sliding mode observer (SMO). A sigmoid function is introduced into the observer and an algorithm of the improved SMO for estimating the position and speed of the high-speed PMDSM. Simulation of the sensorless vector control for the PMDSM is performed on MATLAB/Simulink. The estimation error of position and speed, and estimated back-EMF of the PMDSM are studied based on the simulation. The results demonstrate that the proposed control method can quickly and accurately trace the given speed and achieve a good control performance.
  • Keywords
    angular velocity control; estimation theory; machine vector control; observers; permanent magnet motors; position control; sensorless machine control; synchronous motors; variable structure systems; MATLAB-Simulink; SMO; back-EMF estimation; high-speed PMDSM; high-speed permanent magnet disk synchronous motor; improved sliding mode observer; position estimation error; sensorless vector control method; sigmoid function; speed estimation error; Educational institutions; Machine vector control; Mathematical model; Observers; Permanent magnet motors; Rotors; Synchronous motors; SMO; high-speed PMDSM; sensorless vector control; sigmoid function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Systems and Applications (PESA), 2013 5th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-3276-4
  • Type

    conf

  • DOI
    10.1109/PESA.2013.6828241
  • Filename
    6828241