• DocumentCode
    582302
  • Title

    The CFI-PID controller design of PMLSM vector control system

  • Author

    Zhishu, Xu ; Tao, Cai ; Guanghui, Wang ; Xing, Xu

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    4366
  • Lastpage
    4371
  • Abstract
    Permanent magnet linear synchronous motor (PMLSM) is a multivariable complex nonlinear plant with strong coupling and time-varying parameters. It is hard to reconcile the contradiction between the performance of anti-interference and response speed by traditional PID method. In order to solve the problem, a compound fuzzy immune PID (CFI-PID) method is presented in this paper and applied to the velocity loop of PMLSM vector control system. The proposed controller is compared with traditional PID, fuzzy PID as well as general fuzzy immune PID (FI-PID) when the system starts with rated load, load suddenly changes and the parameters of the PMLSM change, the simulation results show that the CFI-PID controller can achieve smaller overshoot, faster dynamic response, stronger anti-interference performance and robustness.
  • Keywords
    control system synthesis; dynamic response; fuzzy control; linear synchronous motors; machine vector control; multivariable systems; nonlinear control systems; permanent magnet motors; three-term control; time-varying systems; velocity control; CFI-PID controller design; CFI-PID method; FI-PID; PMLSM vector control system; antiinterference performance; compound fuzzy immune PID method; dynamic response; multivariable complex nonlinear plant; permanent magnet linear synchronous motor; response speed; time-varying parameters; velocity loop; Electronic mail; Inverters; MATLAB; Machine vector control; Niobium; Space vector pulse width modulation; CFI-PID; PMLSM; Vector Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390693