{"title":"Research on Multi-stage Closed-loop Control Strategy Based on Electromechanical Brake System","authors":"Yifeng Zhu, Bo Yang, Lin Xu","doi":"10.1109/ICCR55715.2022.10053916","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Control and Robotics (ICCR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCR55715.2022.10053916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.