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Predictive Control Strategies Used to Solve Challenges Related to Modern Railway Vehicles

Ngigi, R. W., Pislaru, Crinela, Ball, Andrew, Fengshou, Gu and Anyakwo, Arthur (2011) Predictive Control Strategies Used to Solve Challenges Related to Modern Railway Vehicles. In: 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), 29-30 November 2011, Derby Conference Centre, UK.

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    Abstract

    This paper is an attempt to collate and critically appraise the recent advances in control strategies used to solve challenges
    related to railway vehicles which present nonlinearities and uncertainties. These strategies concentrate on stability of solid
    axle-wheelsets, guidance for wheelsets to provide the function of track following and curving to reduce all unnecessary creep forces and associated wear/noise. The focus is on active
    primary and secondary suspensions, braking and traction subsystems.
    This paper examines potential new and efficient
    applications of modern predictive control methods, analysis tools and techniques which could be used in effective and
    reliable condition monitoring systems allowing informed decision making on maintenance and renewals activities.

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    Item Type: Conference or Workshop Item (Paper)
    Additional Information: © IET
    Uncontrolled Keywords: rail vehicle dynamics, active control, condition monitoring, predictive analysis techniques, intelligent sensing
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    T Technology > TJ Mechanical engineering and machinery
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
    School of Computing and Engineering > Informatics Research Group
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    References:

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    Depositing User: Crinela Pislaru
    Date Deposited: 17 May 2012 15:31
    Last Modified: 23 Dec 2013 13:36
    URI: http://eprints.hud.ac.uk/id/eprint/13467

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