基于Matlab和模糊PID的汽车ABS系统的研究

摘要

In order to improve the braking performance of ABS, a control algorithm based on matlab and fuzzy PID was proposed in this paper. The longitudinal dynamics models of automobile based on single wheel vehicle were established in the Matlab/Simulink environment. And PID controller, fuzzy controller and fuzzy PID controller were designed respectively. Aiming at vehicles of low speed of 30m/s, medium speed of 80m/s and high speed of 130m/s driving cases, the emergency braking process were simulated and studied. The results show that the designed fuzzy PID control algorithm is able to adjust the parameters in real time. This braking performance is superior to the traditional PID controller and Fuzzy controller. It can shorten braking distance, keep the wheel working at the optimal slip ratio and improve the direction stability effectively.%为提高汽车ABS系统的制动性能，本文提出了一种基于Matlab和模糊PID控制算法的汽车ABS系统。在Matlab/Simulink环境下搭建了以单轮车辆为对象的汽车的纵向动力学模型，并分别设计了PID控制器、模糊控制器和模糊PID控制器，对汽车在低速30km/h、中速70km/h和高速110km/h行驶情况下紧急制动过程进行了仿真研究。仿真结果表明：基于模糊PID控制器的ABS系统能实时地对参数进行调节，其制动性能优于PID控制器和模糊控制器，能保持车轮工作在最佳滑移率附近，缩短制动距离并有效改善制动时的方向稳定性。