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Coordinated Operation of Virtual Coupling High-Speed Trains Under a Novel Sequential Model Predictive Control Framework.

Authors :
Bai, Weiqi
Zhang, Zixuan
Wu, Xingtang
Xiong, Yizhan
Dong, Hairong
Source :
Unmanned Systems; Mar2024, Vol. 12 Issue 2, p359-373, 15p
Publication Year :
2024

Abstract

This article discusses the coordinated control problem of multiple high-speed trains operating under the virtual coupling mode. The study proposes a novel distributed model predictive control (DMPC) algorithm to address safety inter-train distance constraints and other independent constraints affecting train dynamics. The algorithm decomposes the centralized control problem into a sequence of local problems and considers potential hypothetical control policies among neighboring trains. The feasibility and effectiveness of the proposed algorithm are confirmed through theoretical analysis and numerical experiments. The article also discusses the modeling and control of high-speed trains operating under the virtual coupling mode, with a focus on designing control strategies that ensure speed consensus, maintain inter-train distances, and avoid collisions. A distributed model predictive control framework is proposed to handle the multiple constraints involved in the cooperative operation of the trains. The article presents a distributed model predictive control problem for coordinating the operation of high-speed trains in a virtual coupling mode. The problem is solved using a distributed serial iterative architecture to reduce communication requirements and increase robustness. The problem is converted into a series of smaller optimization problems that can be solved cooperatively based on information from adjacent trains. The feasibility of the optimization problems is proven, and the proposed approach is more practical for implementation. The article discusses a distributed control protocol for high-speed trains operating under the virtual coupling mode, aiming to achieve speed consensus and maintain safe distances between trains. The effectiveness of the control protocol is supported by a theorem and proof, and numerical simulations comparing the proposed protocol with other control policies are conducted. The simulations consider parameters [Extracted from the article]

Details

Language :
English
ISSN :
23013850
Volume :
12
Issue :
2
Database :
Complementary Index
Journal :
Unmanned Systems
Publication Type :
Academic Journal
Accession number :
175919886
Full Text :
https://doi.org/10.1142/S2301385024410164