An optimization control strategy for braking system of high-speed trains under partial loss of braking force

Title: An optimization control strategy for braking system of high-speed trains under partial loss of braking force
Creator: Wang, Jiuhe; Chen, Zhiyong; Chen, Zhiwen; Peng, Tao; Peng, Lijuan; Liu, Ruifeng
Relation: IEEE ICCA 2022. Proceedings of the 2022 IEEE 17th International Conference on Control & Automation (ICCA) (Naples, Italy 27-6-2022) p. 109-114
Publisher Link: http://dx.doi.org/10.1109/ICCA54724.2022.9831915
Publisher: Institute of Electronics and Electrical Engineers (IEEE)
Resource Type: conference paper
Date: 2022
Description: Under partial loss of braking force of high-speed trains (HSTs), a set of control strategies is proposed to improve the overall braking performance of HSTs by properly distributing available braking forces. Taking full advantage of braking capacity provided by each carriage, optimization control strategies are proposed that, based on accurate reports of available braking forces, allow one to distribute braking force reasonably while maintaining a certain safety margin. The braking force distribution under two different train emergency plans (only loss of electric braking forces) is studied, and four algorithms are demonstrated.
Subject: pneumatic actuators; automation; force; decentralized control; emergency services; optimization
Identifier: http://hdl.handle.net/1959.13/1481144
Identifier: uon:50651
Identifier: ISBN:9781665495721
Language: eng
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