The Reserch On Fuzzy Control Simulink Of Automobile Electronic Mechanical Braking System ABS

The braking performance of automobile is directly related to driving safety. Major traffic accidents often associate with long distance of braking, vehicle’s instable sideslip and drift while it’s braking in high-speed. Electromechanical brake (EMB) is a new type of braking system. Compared with the traditional hydraulic braking system, which possess characteristics of small volume, compact structure, high reliability and fast response speed. It’s the main direction of future development.Anti-lock braking system (ABS) is a kind of active safety system, which can effectively prevent the phenomenon of wheel locking while emergency brake, with educing the braking distance and enhancing the braking stability and driving safety. Currently, ABS is the standard configuration of vehicles. In order to enhance the braking stability and reduce the braking distance of vehicles, we should make a further research on control method and control theory of the ABS on the basis of electronic mechanical braking system. The main contents are as follows:Firstly, the thesis briefly describes the composition and principle of the electromechanical brake system,and analyzes the braking force of the actuator and the vehicle, establishing the EMB braking system. the thesis makes a preparation for the research of anti-lock braking control method, the effectiveness of EMB model is verified by simulation of single wheel vehicle model without ABS control and it’s can satisfy the national standard specification of brake system. Secondly, comparing respectively with single wheel brake model without ABS control through the Matlab/Simulink software, the simulation results showed that three kinds of controller can meet the requirements of ABS control, establishing the improved fuzzy and PID controller based on slip ratio. Finally, comparing among the simulation of three types of controller for high, medium, low pavement, the result show that the improved fuzzy PID control can effectively make up for the inadequacy of fuzzy and PID control and braking performance has improved significantly. In order to verify the adaptability, the thesis makes a further research of the double model control, and the conclusion shows that the fuzzy PID has much stronger characteristic of identifying road and has better control effect of two-wheeled model. The fuzzy PID can meet the control requirements and has reached the expected purpose.