• DocumentCode
    229998
  • Title

    Position control for PMSM servo system using non-smooth feedback and disturbance estimation compensation

  • Author

    Zhang Jie ; Liu Chuang ; Jiang Renhua ; Wang Chengyu

  • Author_Institution
    Coll. of Autom., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    2060
  • Lastpage
    2065
  • Abstract
    In order to improve the control precision and disturbance rejection property of the PMSM position servo system, a novel composite controller is presented in this paper. First, a non-smooth feedback (NSF) control technique is employed to replace the conventional PI controller in the feedback path of both the position and speed loops. Second, considering the unavoidable and unmeasured disturbances in real applications, a feedforward compensation is adopted in the speed-loop, which is based on an extended state observer (ESO) to estimate unknown disturbances. In addition, a differential feedforward control is introduced in the position-loop to attain a better tracking performance. Simulation and experimental results show that compared with the conventional feedback control, the proposed method achieves a better position response and is more robust to load disturbance.
  • Keywords
    angular velocity control; compensation; feedback; feedforward; machine control; observers; permanent magnet motors; position control; synchronous motors; PMSM position servo system; composite controller; control precision improvement; differential feedforward control; disturbance estimation compensation; disturbance rejection property improvement; extended state observer; feedback path; feedforward compensation; nonsmooth feedback control technique; permanent magnet synchronous motors; position control; position loop; speed loop; unknown disturbance estimation; Estimation; Feedback control; Feedforward neural networks; Load modeling; Rotors; Servomotors; Stators;
  • 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.2014.7013844
  • Filename
    7013844