• DocumentCode
    512447
  • Title

    Research and design of controller for translational meshing motor based on fuzzy logic and PID

  • Author

    Wen, Xin ; Liao, Qizheng ; Wei, Shimin ; Li, Ruihua

  • Author_Institution
    Sch. of Autom., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    418
  • Lastpage
    421
  • Abstract
    The severe nonlinearity of translation meshing motor (TMM) make it hard to get a good control performance with conventional proportional-integral-derivative (PID) controller. In this paper, an intelligent PID controller based on fuzzy logic for TMM drive system is developed. The parameters of the proposed controller are tuned online according to fuzzy logic tuning rules which are summarized from the experts´ control knowledge and operators´ experience. The fuzzy PID controller has the merits of both fuzzy controller and PID controller. The proposed controller is simulated in MATLAB/Simulink environment and implemented on an experimental TMM drive system platform. The control system responds quickly with little overshoot. The simulation and experiment results show that the proposed fuzzy PID controller has superior control performance compared to conventional PID controller, particularly in handing nonlinearities.
  • Keywords
    electric motors; fuzzy control; machine control; three-term control; MATLAB environment; Simulink environment; TMM; fuzzy PID controller; fuzzy logic; online tuning; proportional-integral-derivative controller; translational meshing motor; Automatic control; Control systems; Fuzzy control; Fuzzy logic; Gears; Nonlinear control systems; Pi control; Proportional control; Telecommunication control; Three-term control; PID control; fuzzy logic; motor control; translation meshing motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-4544-8
  • Type

    conf

  • DOI
    10.1109/PEITS.2009.5406750
  • Filename
    5406750