基于模糊PID控制算法的汽车制动系统

以汽车制动力学方程为基础,设计了参数模糊PID控制器,对参数模糊PID控制算法在汽车制动系统中应用进行研究.该控制算法补充了常规PID、逻辑门限制控制算法的不足.仿真结果表明,该参数模糊控制系统能够达到预期效果,制动时间比模糊控制快0.17 s,比常规PID快0.51 s,制动距离比模糊控制短1.475 m,比常规PID控制短5.59m,并在不同的环境参数下具有较强的自适应能力.

Automotive braking system based on fuzzy PID control algorithm

On the basis of the equation of automotive braking mechanics, a fuzzy PID controller is designed and the application of its algorithm in the automotive braking system is researched. This algorithm makes up for the shortages of routine PID control and the logic threshold control algorithm. The simulation results show that the parameter fuzzy control system may reach expected effect. Its braking time is 0.17 s faster than fuzzy control and 0.51 s faster than routine PID control, its braking distance is 1.475 m shorter than fuzzy control and 5.59 m shorter than routine PID control. In addition, the system has powerful self-adaptive ability under various environment parameters.