• DocumentCode
    3136258
  • Title

    Rotor displacement sensorless control strategy for PM type bearingless motor based on the parameter identification

  • Author

    Nian, Heng ; Quan, Yu ; Li, Jiawen

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    15-18 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A rotor radial displacement estimation scheme using high frequency signal injection in the torque winding was suggested, which will meet the need of displacement sensorless operation for an inset PM type bearingless motor. And the inductance parameters in the torque winding and suspension winding used for the position estimation are online identified using the recursive least-squares method to improve the self-sensing accuracy with the consideration of the saturation condition. The rotor radial displacement detecting principle, such as the injection of high-frequency carrier signal, the differential voltage extraction in the suspension winding, the design of the tracking observations for rotor radial displacement estimation, and the parameter identification technique were all discussed. Simulation study demonstrates that the proposed method is capable of effectively estimating the rotor radial displacement for an inset PM type bearingless motor and is able to achieve stable sensorless suspension operation.
  • Keywords
    control system synthesis; least squares approximations; machine vector control; parameter estimation; permanent magnet motors; recursive estimation; PM type bearingless motor; high frequency signal injection; inductance parameters; parameter identification; position estimation; recursive least-squares method; rotor displacement sensorless control strategy; rotor radial displacement estimation scheme; suspension winding; torque winding; Frequency estimation; Inductance; Parameter estimation; Recursive estimation; Rotors; Sensorless control; Signal design; Signal processing; Torque; Voltage; PM type bearingless motor; parameter identification; recursive least-squares; rotor radial displacement estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2009. ICEMS 2009. International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-5177-7
  • Electronic_ISBN
    978-4-88686-067-5
  • Type

    conf

  • DOI
    10.1109/ICEMS.2009.5382650
  • Filename
    5382650