Distributed Learning Control for High-Speed Trains Subject to Operation Safety Constraints

被引:1
|
作者
Gao, Shuai [1 ]
Song, Qijiang [1 ]
Shen, Dong [1 ]
机构
[1] Renmin Univ China, Sch Math, Beijing 100872, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Safety; Trajectory tracking; Resistance; Couplers; Force; Mathematical models; Task analysis; Barrier composite energy function (BCEF); distributed learning control; high-speed train (HST); operation safety; tracking control; CONSENSUS;
D O I
10.1109/TCYB.2023.3257876
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Trajectory tracking problems related to high-speed trains (HSTs) are fundamental issues that affect the operation safety and ride comfort. This study proposes a distributed learning control scheme based on a multiagent system framework for trajectory tracking of HSTs subject to operation safety constraints. Two different connection modes are considered between the carriages: 1) a soft connection achieved via information exchange and 2) a hard connection enforced via couplers. Both relative displacement and speed constraints are carefully analyzed in the tracking control process. By constructing an appropriate barrier composite energy function, the convergence of the tracking error and satisfaction of the operation safety constraints are rigorously proven for the proposed scheme. The theoretical results are verified using numerical simulations.
引用
收藏
页码:1794 / 1805
页数:12
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