摘要
针对高速列车运行中因受外界未知扰动而导致的各车厢速度不同步问题,提出一种基于扩展滑模扰动观测器的高速列车分布式滑模控制算法。首先,考虑高速列车运行的受力情况,建立高速列车多质点模型;其次,设计领航者车厢滑模控制器和跟随者车厢分布式滑模控制器,构建扩展滑模扰动观测器估计外界未知干扰,并反馈给分布式滑模控制器,以消除外界未知干扰对高速列车各车厢速度同步造成的影响,同时利用Lyapunov理论证明了算法的稳定性。最后,通过Matlab仿真验证了该算法能实时精确观测外界未知扰动并反馈补偿,跟随者车厢能快速跟踪领航者车厢的速度,速度跟踪精确度高达99.9%。
A distributed sliding mode control algorithm has been proposed for high-speed trains(HST)based on extended sliding mode disturbance observer(ESMDO)in view of a solution of asynchronous speeds in each carriage caused by unknown external disturbances during high-speed train operation.Firstly,considering the stress condition of high-speed train operation,the multi-particle model of high-speed trains is established.Secondly,a sliding mode controller for the leader carriage and a distributed sliding mode controller for the follower carriage are designed,and an extended sliding mode disturbance observer(ESMDO)is constructed to estimate unknown external disturbances,thus providing feedback to the distributed sliding mode controller to eliminate the influence of unknown external disturbances on the speed synchronization of each carriage of the high-speed train.Meanwhile,the stability of the algorithm is proved by using the Lyapunov theory.Finally,it is verified that the algorithm can accurately observe the unknown external disturbances in real time and provide feedback compensation by Matlab simulation.The follower carriage can quickly track the speed of the leader carriage,with a speed tracking accuracy as high as 99.9%.
作者
游鑫
赵凯辉
吕玉映
谯梦洁
黄嘉懿
李祥飞
YOU Xin;ZHAO Kaihui;LÜYuying;QIAO Mengjie;HUANG jiayi;LI Xiangfei(College of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou Hunan 412007,China)
出处
《湖南工业大学学报》
2025年第1期43-50,共8页
Journal of Hunan University of Technology
基金
湖南省自然科学基金资助项目(2023JJ50193,2023JJ30214,2023JJ50196)。
关键词
高速列车
分布式滑模控制
扩展滑模扰动观测器
跟踪精度
high-speed train
distributed sliding mode control
extended sliding mode disturbance observer
tracking accuracy
