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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 > High-Performance Intelligent Computing
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References:

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Depositing User: Crinela Pislaru
Date Deposited: 17 May 2012 14:31
Last Modified: 23 Dec 2013 13:36
URI: http://eprints.hud.ac.uk/id/eprint/13467

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