Design of fuzzy-based self-adjusting direction controller for intelligent car

This paper designs a direction controller with parameters self-adjusting for intelligent car based on fuzzy control, in view of the high-nonlinear characteristic of the intelligent car control system. The controller adds a parameters self-adjust module on the basis of fundamental fuzzy controller to adjust the quantization factor and scaling factor automatically, and then improve the real-time response and robustness of direction control. The simulation results show that the self-adjusting fuzzy controller has rapider response, shorter adjusting time and stronger self-adaptability for second-order than traditional PID controller, and experimental data also proves its good control effect for the intelligent car.