Design of Smart Car Speed Control System Based on Fuzzy Control

The smart car, one kind of mobile robots, is an integrated system which integrates multiple functions such as environment awareness, planning decision and automatic drive. In order to improve the smart car´s performance in tracking and moving, smart car´s speed control system based on FUZZY controller is designed in this paper. Control strategy and control algorithm is researched. Firstly, membership function and control rules are designed in this paper. Secondly, through fuzzy inference and defuzzification, we can get the output control action´s domain of discourse. Finally, a smart car hardware system, where the algorithm is applied in, is designed based on MC9S12XS128 MCU. The algorithms have fast response, small overshoot, and strong robustness and so on. Where after, the reliability of this system is tested, which proved that the control algorithm can imitate the driving behavior of human to control the smart car to track the path accurately and rapidly.