控制理论(社会学)
火车
稳健性(进化)
有界函数
约束(计算机辅助设计)
理论(学习稳定性)
弦(物理)
排
计算机科学
自动化
控制(管理)
工程类
数学
机械工程
基因
地图学
机器学习
数学分析
人工智能
生物化学
化学
地理
数学物理
作者
Yafei Liu,Yang Zhou,Shuai Su,Jing Xun,Tao Tang
摘要
Abstract Virtual coupling (VC) brings unprecedented opportunities for the train operation system by controlling multiple trains as a virtually coupled train set (VCTS) via train automation and communication. To deal with communication delays and small disturbances in a VCTS, this paper developed a tube‐based control approach for the VCTS, focusing on optimizing the control performances and meanwhile guaranteeing the individual and string stability. Specifically, a tube model predictive control (MPC) framework is constructed to handle safety constraints and regulate bounded small disturbances. Then, the individual stability and string stability are ensured by designing the constraint sets for inputs and proper coefficient tuning within the stable region. Finally, simulation‐based experiments verify that the proposed approach shows better robustness and higher efficiency, which can regulate train states within a tube, and the VCTS can be asymptotically stable and string stable facing disturbances and delays.
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