摘要
为了提高PI算法控制的转速-电流双闭环控制模型对电磁耦合调速器转速的控制性能与鲁棒性,将模糊PID算法注入转速控制环,通过Simulink进行建模仿真,利用PSO算法优化模糊PID的控制参数,并利用模糊PID控制对电磁耦合调速器进行转速控制试验。结果表明:优化后的目标转速较PI算法在超调量方面减少了23.31 r/min,扰动量减少了19.8 r/min,稳定时间缩短了0.101 s;试验后的模糊PID控制消除了超调,稳定时间较PID算法缩短了4 s;模糊PID控制算法能够提高转速-电流双闭环对电磁耦合调速器的转速控制性能与鲁棒性,相比PI算法和PID算法具有优化效果。
In order to improve the control performance and robustness of the speed-current double closed-loop control model of the PI algorithm on the speed of the electromagnetic coupling governors, this paper injects a fuzzy PID algorithm into a speed control loop, models and simulates by Simulink, then uses the PSO algorithm to optimize the control parameters of the fuzzy PID, and carries out the speed control test of the electromagnetic coupling governor by fuzzy PID control. The results show that, compared with the PI algorithm, the optimized target speed reduces the overshoot by 23.31 r/min, the disturbance by 19.8 r/min, and the settling time by 0.101 s. After the test, the fuzzy PID control eliminates the overshoot, and the settling time reduces by 4 s compared with the PID algorithm. The fuzzy PID control algorithm can improve the speed control performance and robustness of the speed-current double closed-loop to the electromagnetic coupling governor, which has a certain optimization effect compared with the PI algorithm and the PID algorithm.
作者
储江伟
谢鼎盛
刘贺
刘梓敬
张泽涵
CHU Jiangwei;XIE Dingsheng;LIU He;LIU Zijing;ZHANG Zehan(Northeast Forestry University,Harbin 150040,China;FAW-Volkswagen,Jilin Province 130000,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2023年第1期204-211,共8页
Journal of Chongqing University of Technology：Natural Science
基金
黑龙江省道路运输车辆碳排放量达峰预测及减排措施研究项目(2572021DT09)。
关键词
双闭环
模糊PID
PSO
电磁耦合调速器
dual closed-loop
fuzzy PID
PSO
electromagnetic coupling governor
作者简介
储江伟,男,博士,教授,主要从事汽车运行品质控制理论与方法研究,E-mail:cjw_62@163.com;通讯作者:谢鼎盛,男,硕士研究生,主要从事电磁耦合无级变速器研究,E-mail:1312586691@qq.com。
