• DocumentCode
    2451878
  • Title

    The Application of Fuzzy PID Control in Intelligent Wheelchair System

  • Author

    Wei, Wu ; Xiaoning, Ma ; Xiuyu, Gao

  • Author_Institution
    Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    230
  • Lastpage
    232
  • Abstract
    This paper applies both fuzzy control policy and traditional Proportion Integration Differentiation (PID) control policy in the emergency treatment of intelligent wheelchair system. These two control policies adjust PID control parameters online automatically, improve the sensitivity and accuracy of system. Fuzzy control is independent on the mathematical model of the controlled object and it is applicable to non-linear and time-varying system as well. It minimizes the impact of disturbance and parameter variation to the intelligent wheel chair control system. It is tested by brushless DC motor rotary speed control experiment and simulation and shown that fuzzy PID controller is more fast and robust than traditional PID controller.
  • Keywords
    brushless DC motors; fuzzy control; handicapped aids; intelligent control; nonlinear control systems; three-term control; time-varying systems; velocity control; wheelchairs; brushless DC motor rotary speed control; emergency treatment; fuzzy PID control; fuzzy control policy; intelligent wheelchair system; mathematical model; nonlinear system; parameter variation; proportion integration differentiation control policy; time varying system; Artificial intelligence; Brushless DC motors; Control systems; Fuzzy control; Mathematical model; Niobium; Wheelchairs; PID control; fuzzy control; intelligent wheelchair;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.221
  • Filename
    5708750