DocumentCode
1956029
Title
Predictive control strategies used to solve challenges related to modern railway vehicles
Author
Ngigi, R.W. ; Pislaru, Cristina ; Ball, A. ; Gu, F. ; Anyakwo, A.
Author_Institution
Diagnostic Eng. Res. Centre, Univ. of Huddersfield, Huddersfield, UK
fYear
2011
fDate
29-30 Nov. 2011
Firstpage
1
Lastpage
5
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 sub systems. 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.
Keywords
axles; braking; condition monitoring; maintenance engineering; mechanical stability; predictive control; railway rolling stock; suspensions (mechanical components); traction; wheels; active primary suspensions; active secondary suspensions; analysis tools; axle-wheelset stability; braking; condition monitoring systems; creep forces; decision making; maintenance activities; predictive control strategies; railway vehicles; renewal activities; track curving; track following; traction subsystems; wear-noise; active control; condition monitoring; intelligent sensing; predictive analysis techniques; rail vehicle dynamics;
fLanguage
English
Publisher
iet
Conference_Titel
Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), 5th IET Conference on
Conference_Location
Derby
Type
conf
DOI
10.1049/cp.2011.0615
Filename
6191883
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