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.
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