Research on Virtual Coupled Train Control Method Based on GPC &amp; VAPF

CAO Yuan; YANG Yaran; MA Lianchuan; WEN Jiakun

doi:10.1049/cje.2021.00.241

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CAO Yuan, YANG Yaran, MA Lianchuan, WEN Jiakun. Research on Virtual Coupled Train Control Method Based on GPC & VAPF[J]. Chinese Journal of Electronics. doi: 10.1049/cje.2021.00.241

Citation:

CAO Yuan, YANG Yaran, MA Lianchuan, WEN Jiakun. Research on Virtual Coupled Train Control Method Based on GPC & VAPF[J]. Chinese Journal of Electronics. doi: 10.1049/cje.2021.00.241

CAO Yuan, YANG Yaran, MA Lianchuan, WEN Jiakun. Research on Virtual Coupled Train Control Method Based on GPC & VAPF[J]. Chinese Journal of Electronics. doi: 10.1049/cje.2021.00.241

Citation:

CAO Yuan, YANG Yaran, MA Lianchuan, WEN Jiakun. Research on Virtual Coupled Train Control Method Based on GPC & VAPF[J]. Chinese Journal of Electronics. doi: 10.1049/cje.2021.00.241

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Research on Virtual Coupled Train Control Method Based on GPC & VAPF

doi: 10.1049/cje.2021.00.241

1.
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
2.
National Engineering Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University , Beijing 100044, China
3.
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

Funds: This work is supported (No.U1934219)and the National Science Fund for Excellent Young Scholars (No.52022010)

More Information

Author Bio:
CAO Yuan received his B.S. degree in Electric Engineering and Automation from Dalian Jiaotong University and Ph.D. degree in Traffic Information Engineering and Control from Beijing Jiaotong University in 2004 and 2011 respectively, where his now a Professor. Since 2006, he has participated in many engineering practice, especially in the signal and communication system of railway. He has taken part in several key national research projects in the field of high-speed train control system. His research interests include intelligent control and health management in railway system. (Email: ycao@bjtu.edu.cn)

YANG Yaran is now pursuing his B.S. degree in Traffic Information Engineering and Control. Her research interests include formal verification and implementation of train control system

MA Lianchuan was born in 1970, and received his B.S. degree in electromagnetic field engineering from Xidian University and M.S degree in communication engineering from Beijing Jiaotong University in 1992 and 1995, respectively. And now he is an associate professor of Beijing Jiaotong University. Since 1995, he has participated in many engineering practice, especially in the signal and communication system of urban rail transit, high-speed railway. His research interests include the intelligent control of train control system

(corresponding author) WEN Jiakun is now pursuing his B.S. degree in Traffic Information Engineering and Control. His research interests include formal verification and implementation of train control system. (Email: 18120268@bjtu.edu.cn)
Accepted Date: 2022-02-11

Available Online: 2022-03-12

Abstract

Abstract

In rail transit systems, improving transportation efficiency has become a research hotspot. In recent years, a method of train control system based on virtual coupling has attracted the attention of many scholars. And the train operation control method is not only the key to realize the virtual coupling train operation control system but also the key to prevent accidents. Therefore, based on the existing research, a virtual coupled train dynamics model with nonlinear dynamics is established. Then, the recursive least square method based on the train running process data is used to identify the model parameters of the nonlinear dynamics virtual coupling train coupling process, and it is applied to the variable parameter artificial potential field(VAPF) to identify the parameters. A fusion controller based on feature-based generalized model prediction(GPC) and VAPF is used to control the virtual coupled train and prevent collision. Finally, a section of Beijing-Shanghai high-speed railway is taken as the background to verify the effectiveness of the proposed method.
- Virtual coupling train control system,
- Generalized model predictive control,
- Nonlinear system,
- Artificial potential field

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References(36)

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