Duncan, S.R., Fruhnert, M. and Drummond, R. orcid.org/0000-0002-2586-1718 (2025) Control of braking for automatic train operation. In: 2025 IEEE Conference on Control Technology and Applications (CCTA). 2025 IEEE Conference on Control Technology and Applications (CCTA), 25-27 Aug 2025, San Diego, CA, USA. Institute of Electrical and Electronics Engineers (IEEE), pp. 838-843. ISBN: 9798331539092. ISSN: 2768-0762. EISSN: 2768-0770.
Abstract
An important function of an Automatic Train Operation (ATO) system is to control braking to bring a train to a standstill at a specific location in a smooth and safe manner. To minimise journey times and to improve throughput on a rail network, the time required for braking needs to be minimised. This paper considers braking as an optimal, minimum time control problem and applies the solution as a feedforward braking traction. A feedback controller is then used to ensure that the train speed follows the optimal solution. The feedback is based on a PID controller to align with the existing structure of the ATO system. By considering the controller as a Lur'e system, the Popov criterion provides a limit on the allowable slope of the braking curve and the optimal profile is modified to ensure that this constraint is satisfied. The performance of the controller is evaluated on an industry supplied simulation of the train dynamics.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a conference paper published in 2025 IEEE Conference on Control Technology and Applications (CCTA) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Control Engineering, Mechatronics and Robotics; Engineering; Engineering Practice and Education |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering |
| Date Deposited: | 25 Feb 2026 09:08 |
| Last Modified: | 25 Feb 2026 09:08 |
| Status: | Published |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Refereed: | Yes |
| Identification Number: | 10.1109/ccta53793.2025.11151507 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:238376 |
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Filename: CCTA_ATO.pdf
Licence: CC-BY 4.0

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