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Modelling and controller design for self-adjusting railway track switch system

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conference contribution
posted on 15.05.2018, 08:11 by Saikat Dutta, Tim HarrisonTim Harrison, Maria Sarmiento-Carnevali, Christopher WardChristopher Ward, Roger Dixon
Rail vehicles are directed along different routes through track switch systems. These switches are subjected to high loads and vibrations which may introduce misalignment in the switch layout. The objective of the current project is to develop a simulation model of a ‘self-adjusting’ switch. The switch should be able to detect the existence of any misalignment (within a predefined range) between the stock rails and switch rails and will be able to re-align itself. The first phase of the project is to model a working track switch system, High Performance Switch System (HPSS), which is in operation in the UK. The multi-body simulation software Simpack is used to model the switch panel and Simulink is used for modelling the actuator mechanism of HPSS. A co-simulation environment is created in Simulink to construct the complete model of the switch system. The model has been validated with the data available from the working switches. The second phase of the project will be to create misalignment in the switch layout and develop a control strategy which will be able to adjust the misalignment.

Funding

The research has been supported by the European Union’s ‘Horizon 2020 – the Framework Programme for Research and Innovation (2014-2020)’ through grant number ‘635900’ for the project ‘IN2RAIL: Innovative Intelligent Rail’.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

7th Transport Research Arena TRA 2018

Citation

DUTTA, S. ... et al, 2018. Modelling and controller design for self-adjusting railway track switch system. Presented at the 7th Transport Research Arena (TRA) 2018, Vienna, Austria, 16-19 April 2018.

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

18/12/2017

Publication date

2018

Notes

This is a conference paper.

Language

en

Location

Vienna, Austria