模糊PID控制在车辆制动过程中的应用

Fuzzy PID Control for Vehicle Braking

采用模糊PID控制算法,在Matlab/Simulink环境建立一个单轮车辆防抱死制动系统仿真模型对ABS进行仿真。在汽车防抱死制动系统控制中,由于被控参数具有时变性、非线性、不确定性等因素,常规PID控制算法难以满足控制要求。将模糊理论与PID控制算法相结合构成自适应模糊PID控制器,让PID参数随要求不同而调整,从而对不同情况使用不同参数,实现对PID参数Kp、Ki、Kd最佳调整。实际运行结果表明,该控制器取得了较好的快速性和稳定性.

The single-round simulation model of vehicle anti-lock braking system in Matlab/Simulink environment based on the fuzzy PID control algorithm was built,to simulate the ABS.Because the alleged argument has some uncertain factors,such as the time-varying,nonlinear,and other factors,the conventional PID can not meet the control requirements in the anti-lock braking control system.The adaptive fuzzy PID Controller was formed by combining the fuzzy with the PID control algorithm in this paper,and the PID parameter will adjust along with different requirements.Fuzzy PID algorithm controlled the anti-lock braking system,and the Fuzzy was used to determine the three parameters Kp、Ki、Kd in the optimal adjustment.The result shows that the controller achieved good speed and stability.