摘要
为了提高高速列车速度控制的跟踪精度,解决传统PID控制因为参数固定不变而导致的控制不灵活,停车精度不高的缺点,以CRH2-300的数据为例计算了列车牵引、制动的理想运行曲线,并结合模糊控制、PID控制和预测控制各自的优点,在传统的PID控制中加入模糊控制,实现了根据实际的系统状况对PID控制器的参数进行在线调节,同时引入预测控制达到提前调整的目的,设计了适合高速列车速度跟踪控制的预测模糊PID控制器,控制高速列车跟踪理想运行曲线,并与模糊PID以及传统的PID控制结果作比较。仿真结果表明该控制器能够比模糊PID以及传统的PID控制更有效的跟踪目标曲线,满足误差小、鲁棒性高的要求,并在很大程度上提高了列车的停车精度。
In order to improve the speed control tracking precision of high-speed train and solve the weakness for low parking precision and low flexibility in controlling because the parameters of traditional PID control could not be adjusted online, taking CRH2-300 as an example, the ideal operation curve of the high-speed train was calculated, and taking the advantages of fuzzy control, PID control and predictive control, the fuzzy control was put in the traditional PID control to adjust the parameters of the PID controller based on actual system conditions online, and predictive control was used to achieving the purpose of adjusting in advance, a predictive fuzzy-PID controller was designed to make the train tracking the ideal speed curve, which compared the results with the Fuzzy-PID and traditional PID control. Simulation results show that, this control system can track the target curve much better than the Fuzzy-PID and PID control, and meet the requirements of high reliability and robustness; above all, this control system has improved the accuracy of the train parking greatly.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2014年第1期191-196,201,共7页
Journal of System Simulation
基金
铁道部科技研究开发计划课题(2011X008-D)
