夹紧
控制理论(社会学)
PID控制器
制动器
MATLAB语言
模糊控制系统
过程(计算)
控制工程
控制系统
计算机科学
工程类
模糊逻辑
汽车工程
控制(管理)
温度控制
机械工程
电气工程
人工智能
操作系统
作者
Yifeng Zhu,Bo Yang,Lin Xu
标识
DOI:10.1109/iccr55715.2022.10053916
摘要
In order to meet the dynamic and stable performance of the braking process in the electromechanical braking system, the relationship between the current threshold and the clamping force is selected to identify the critical point in the braking process, and the staged closed-loop control strategy is designed accordingly. At the same time, for the pressure loop of clamping force control in the braking process, the control strategy adopts fuzzy PID control. Finally, the electronic mechanical brake system simulation platform is built in the offline environment of MATLAB/Simulink. The simulation results prove that the control strategy in this paper can accurately identify the critical point in the braking process and stably follow the control objectives of each stage. Compared with the PID control, the fuzzy PID control algorithm designed in this paper improves the response speed and control quality of the target braking force within a certain range for the pressure loop which directly affects the clamping force control effect.
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