Continuous Time Parameter Estimation Method for a Railway Track Switch Actuator

Saikat Dutta, Ramakrishnan Ambur, Osama Olaby, Moussa Hamadache, Edward Stewart, Roger Dixon

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

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    Abstract

    The scheduled maintenance procedure required for the safe running of a switch system is costly and often involves large time. In the changing rail network, the scheduled maintenance process is needed to be replaced with advanced condition monitoring approaches which can predict and detect degradation in the system performance and notify the operator. The present research addresses the challenge to detect any degradation or change of performance of the switch actuation system using continuous time parameter estimation method. A switch system with an electro-mechanical actuator has been considered and the developed technique is tested with changing switch parameters. A new switch actuator is now built and validated and installed in a working test switch system. The method will be tested for different unhealthy/fault scenarios with the working actuator connected to a working switch system.
    Original languageEnglish
    Title of host publication2022 UKACC 13th International Conference on Control (CONTROL)
    PublisherIEEE
    Pages56-59
    Number of pages4
    ISBN (Electronic)978-166545200-7
    ISBN (Print)978-1-6654-5201-4
    DOIs
    Publication statusPublished - 2022
    EventUKACC Control Conference 2022: 13th UK Automatic Control Council (UKACC) International Conference - Plymouth, United Kingdom
    Duration: 20 Apr 202222 Apr 2022
    https://www.plymouth.ac.uk/whats-on/13th-united-kingdom-automatic-control-council-international-conference

    Conference

    ConferenceUKACC Control Conference 2022
    Country/TerritoryUnited Kingdom
    CityPlymouth
    Period20/04/2222/04/22
    Internet address

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    Funding Information:
    ACKNOWLEDGEMENT The work described has been supported by the S-CODE project. This project has received funding from the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730849. This publication reflects only the authors’ view and the Shift2Rail Joint Undertaking is not responsible for any use that may be made of the information it contains.

    Publisher Copyright:
    © 2022 IEEE.

    Keywords

    • Condition Monitoring
    • Continuous time parameter estimation
    • Refined instrumental variable method
    • Railway track switch

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