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
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;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.221