Volume 31 Issue 5
Sep.  2022
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CAO Yuan, YANG Yaran, MA Lianchuan, et al., “Research on Virtual Coupled Train Control Method Based on GPC & VAPF,” Chinese Journal of Electronics, vol. 31, no. 5, pp. 897-905, 2022, doi: 10.1049/cje.2021.00.241
Citation: CAO Yuan, YANG Yaran, MA Lianchuan, et al., “Research on Virtual Coupled Train Control Method Based on GPC & VAPF,” Chinese Journal of Electronics, vol. 31, no. 5, pp. 897-905, 2022, doi: 10.1049/cje.2021.00.241

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

doi: 10.1049/cje.2021.00.241
Funds:  This work was supported by the National Key R&D Program of China (2021YFF0501102), the National Natural Science Foundation of China (U1934219), and the National Science Fund for Excellent Young Scholars (52022010).
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  • Author Bio:

    received the 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 he is 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)

    is now pursuing the B.S. degree in traffic information engineering and control. Her research interests include formal verification and implementation of train control system

    was born in 1970, and received the 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) is now pursuing the 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)

  • Received Date: 2021-07-18
  • Accepted Date: 2022-02-11
  • Available Online: 2022-03-12
  • Publish Date: 2022-09-05
  • Improving transportation efficiency is an eternal research hotspot in rail transit system. In recent years, the train operation control method based on virtual coupling has attracted the attention of many scholars. The method of train coordination and anti-collision control is not only the key to realize the virtual coupling of train, but also the key to ensure the safety of train operation. Therefore, based on the existing research, a virtual coupled train dynamics model with nonlinear dynamics is established. Then, the parameters of the operation process model of the nonlinear virtual coupled train are identified by the recursive least squares method based on real-time data, which is applied to the variable parameter artificial potential field (VAPF) for parameter identification. 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, the validity of the proposed method is verified by using real high-speed railway data.
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