- 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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