• DocumentCode
    230408
  • Title

    A novel inertia identification algorithm for PMSM

  • Author

    Niu Li ; Yang Ming ; Gui Xianguo ; Xu Dianguo

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    3371
  • Lastpage
    3375
  • Abstract
    A novel online inertia identification approach is presented in this paper. The proposed approach adopts fixed order recursive empirical frequency-domain optimal parameter estimation to identify online the inertia of PMSM. A simple load torque observer based on the mathematical formula of PMSM is also applied to eliminate the load torque disturbance. The results in simulation and experiment show that, the proposed approach is of excellent robustness and precision compared with the traditional recursive least square algorithm for the inertia identification.
  • Keywords
    frequency-domain analysis; parameter estimation; permanent magnet motors; synchronous motors; torque; PMSM; fixed order recursive empirical frequency-domain optimal parameter estimation; least square algorithm; load torque disturbance elimination; load torque observer; online inertia identification algorithm; permanent magnet synchronous motor; Current control; Load modeling; Observers; Permanent magnet motors; Robustness; Servomotors; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7014074
  • Filename
    7014074