Virtual Coupling Trains Based on Multi-agent System Under Communication Delay

QIN Guodong; MENG Xiangxi; WEN Tao; CAI Baigen

doi:10.23919/cje.2022.00.253

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Guodong QIN, Xiangxi MENG, Tao WEN, et al., “Virtual Coupling Trains Based on Multi-agent System Under Communication Delay,” Chinese Journal of Electronics, vol. 33, no. 6, pp. 1–10, 2024 doi: 10.23919/cje.2022.00.253

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Guodong QIN, Xiangxi MENG, Tao WEN, et al., “Virtual Coupling Trains Based on Multi-agent System Under Communication Delay,” Chinese Journal of Electronics, vol. 33, no. 6, pp. 1–10, 2024 doi: 10.23919/cje.2022.00.253

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Virtual Coupling Trains Based on Multi-agent System Under Communication Delay

doi: 10.23919/cje.2022.00.253

QIN Guodong^1
,,
MENG Xiangxi^2
,,
WEN Tao^{1
,
,},
CAI Baigen^1
,

1.
School of Automation and Intelligence, Beijing Jiaotong University, Beijing 100044, China
2.
The Institute of System Research, China Industrial Control Systems Cyber Emergency Response Team, Beijing 100040, China

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Author Bio:
Guodong QIN is currently working toward the M.S. degree in the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China. His primary research interests include virtual coupling and cooperative control. (Email: 21120235@bjtu.edu.cn)

Xiangxi MENG received the Ph.D. degree from Beihang University, Beijing, China in 2020. He is now a senior engineer with the China Industrial Control Systems Cyber Emergency Response Team, Beijing. China. His research interests include fault detection, software testing, machine learning, and industrial Internet research. (Email: alan.meng@buaa.edu.cnn)

Tao WEN received the Ph.D. degree from the Birmingham Centre for Railway Research and Education, University of Birmingham, Birmingham, U.K., in 2018. He is currently working at the Beijing Jiaotong University. His research interests include train control system optimization, railway signaling simulation, wireless signal processing, and digital filter research. (Email: wentao@bjtu.edu.cn)

Baigen CAI received the B.S., M.S., and Ph.D. degrees in Traffic Information Engineering and Control from Beijing Jiaotong University, Beijing, China, in 1987, 1990, and 2010, respectively. Since 1990, he has been with the Faculty of the School of Electronic and Information Engineering, Beijing Jiaotong University, where he is currently a Professor and the Head of the School of Automation and Intelligence. His research interests include train control systems, ITS, and GNSS navigation. (Email: bgcai@bjtu.edu.cn)
Corresponding author: Email: wentao@bjtu.edu.cn
Received Date: 2022-07-31
Accepted Date: 2024-01-03

Available Online: 2024-04-29

Abstract

Abstract

With the rapid development of railway transportation, virtual coupling (VC) has become a popular research topic. VC can greatly reduce tracking distance and increase the line capacity. Under VC control, the train formation control not only considers the behavior and speed adjustment strategy of the leader train but also the communication delays between trains. The quality of data communication between trains is an important aspect of train tracking control. We consider a virtually coupled train set (VCTS) as a multi-agent system. The Luenberger observer is introduced to estimate the real-time state of the train, based on the estimation, the train control consistency protocol is designed to account for communication delays. The stability of the error system is proven by constructing a Lyapunov function. The consistency of the coordinated train control is verified through simulation.
- Virtual coupling,
- Train communication topology,
- Communication delay,
- Multi-agent system

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References(27)

References

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