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Closed-Loop Control Method for Braking Deceleration of Urban Rail Trains Based on Multi-System Fusion
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Xisheng Xia1, Lijun Yang1, Hongjie Liu2, Tao Tang3, Yang Li1, Haoyang Yu1
Urban Rapid Rail Transit | 2026, 39(4) : 141 - 146
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Urban Rapid Rail Transit | 2026, 39(4): 141-146
• Academic Discussion •
Closed-Loop Control Method for Braking Deceleration of Urban Rail Trains Based on Multi-System Fusion
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Xisheng Xia1, Lijun Yang1, Hongjie Liu2, Tao Tang3, Yang Li1, Haoyang Yu1
Affiliations
  • 1.Meta Box Technology Co., Ltd., Beijing 100071
  • 2.School of Automation and Intelligence, Beijing Jiaotong University, Beijing 100044
  • 3.National Key Laboratory of Advanced Rail Transit Autonomous Operation, Beijing Jiaotong University, Beijing 100044
doi: 10.3969/j.issn.1672-6073.2026.04.016
Outline
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Against the background of the rapid development of autonomous train operation and virtual coupling, the traditional independent design of vehicle and signaling systems and the distributed control system adopted on the vehicle side have led to problems such as lengthy on-board Automatic Train Operation (ATO) control links, large response delays, and low control accuracy. This paper proposes a multi-system fusion-based closed-loop control method for train braking deceleration. Firstly, an integrated hardware and software platform integrating vehicle control and signaling control functions is established to construct a multi-system fusion control architecture. secondly, based on this platform, the functional redistribution of the entire process of train automatic operation control is carried out, and the core links such as ATO control, traction/braking force collaborative distribution, and closed-loop feedback control are deeply integrated to reconstruct the control closed-loop; Finally, on-vehicle tests are conducted to verify the control performance of the proposed method. The test results show that, compared with the traditional distributed train control system, the control accuracy under ATO mode is increased by 35% with a 25% reduction in response delay; the accuracy of pure electric braking is improved by 70% with a 20% delay reduction; and the accuracy of electro-pneumatic blended braking is raised by 30% with a 14% delay reduction. The integrated architecture effectively improves train braking stability and stopping accuracy, providing critical technical support for the safe and efficient intelligent and autonomous operation of trains.

rail transit  /  fusion control system  /  vehicle-signaling system fusion  /  multi-disciplinary integration of vehicles  /  precision parking  /  closed-loop control
夏夕盛, 杨利军, 刘宏杰, 唐涛, 李洋, 余浩旸. 多系统融合的城轨列车制动减速度闭环控制方法. 都市快轨交通, 2026 , 39 (4) : 141 -146 . DOI: 10.3969/j.issn.1672-6073.2026.04.016
Xisheng Xia, Lijun Yang, Hongjie Liu, Tao Tang, Yang Li, Haoyang Yu. Closed-Loop Control Method for Braking Deceleration of Urban Rail Trains Based on Multi-System Fusion[J]. Urban Rapid Rail Transit, 2026 , 39 (4) : 141 -146 . DOI: 10.3969/j.issn.1672-6073.2026.04.016
Year 2026 volume 39 Issue 4
165
39
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Article Info
doi: 10.3969/j.issn.1672-6073.2026.04.016
  • Receive Date:2025-12-23
  • Online Date:2026-09-20
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  • Received:2025-12-23
  • Revised:2026-03-12
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Affiliations
    1.Meta Box Technology Co., Ltd., Beijing 100071
    2.School of Automation and Intelligence, Beijing Jiaotong University, Beijing 100044
    3.National Key Laboratory of Advanced Rail Transit Autonomous Operation, Beijing Jiaotong University, Beijing 100044
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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