A Novel Approach for Train Tracking in Virtual Coupling Based on Soft Actor-Critic

Author:

Chen Bin123ORCID,Zhang Lei123,Cheng Gaoyun23,Liu Yiqing23,Chen Junjie4ORCID

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

2. Traffic Control Technology Co., Ltd., Beijing 100070, China

3. National Engineering Research Center of Rail Transportation Operational and Control System, Beijing 100044, China

4. School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China

Abstract

The development of virtual coupling technology provides solutions to the challenges faced by urban rail transit systems. Train tracking control is a crucial component in the operation of virtual coupling, which plays a pivotal role in ensuring the safe and efficient movement of trains within the train and along the rail network. In order to ensure the high efficiency and safety of train tracking control in virtual coupling, this paper proposes an optimization algorithm based on Soft Actor-Critic for train tracking control in virtual coupling. Firstly, we construct the train tracking model under the reinforcement learning architecture using the operation states of the train, Proportional Integral Derivative (PID) controller output, and train tracking spacing and speed difference as elements of reinforcement learning. The train tracking control reward function is designed. Then, the Soft Actor-Critic (SAC) algorithm is used to train the virtual coupling train tracking reinforcement learning model. Finally, we took the Deep Deterministic Policy Gradient as the comparison algorithm to verify the superiority of the algorithm proposed in this paper.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

Reference25 articles.

1. Improvement of line capacity by using “virtually coupled train formations”;Bock;VDI Berichte,1999

2. Design and development of a future freight train concept—“Virtually coupled train formations”;Bock;IFAC Proc. Vol.,2000

3. König, S., and Bikker, G. (2000, January 17–19). Developing and Implementing a Framework for CASE Tool Coupling-Object Orientation upon Tool Level. Proceedings of the European Concurrent Engineering Conference, Leicester, UK.

4. Bock, U., and Varchmin, J.U. (2000, January 6–7). Virtually coupled train formations: Wireless communication between train units. Proceedings of the General Traffic Forum, Braunschweig, Germany.

5. Einsatz eines Prozeßmodells zur Analyse und Spezifikation von Bussystemen;Bikker;EKA,1999

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3