Least Squares Method Applied to Rail Vehicle Contact Condition Monitoring

Guy Charles, Roger Dixon, R. M. Goodall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The dynamics of a railway vehicle are driven by the geometry and conditions at the wheel-rail contact. Typically the condition and shape of the wheel and rail are monitored separately and off line. The work presented here is part of ongoing research into on-line model-based estimation of parameters in the wheel-rail contact dynamics. This paper outlines a practical approach to estimating a nonlinear function within a dynamic system by using a piecewise cubic functions. The parameters for the cubic functions are estimated with a least squared approach applied to the dynamic measurements taken from the system. A simplified plan-view wheelset and suspended mass model is introduced to use as an application of this technique. A contact geometry term, conicity, which is a nonlinear function of the relative lateral wheel-rail position, is included in the rail vehicle model. The conicity is successfully estimated using the least-squares method outlined in the paper.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control
PublisherElsevier
Pages7451-7456
Number of pages6
Volume41
Edition2
ISBN (Print)9783902661005
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event17th World Congress, International Federation of Automatic Control - Seoul, Korea, Republic of
Duration: 6 Jul 200811 Jul 2008
Conference number: 17

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
PublisherElsevier
Number2
Volume41
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control
Abbreviated titleIFAC2008
CountryKorea, Republic of
CitySeoul
Period6/07/0811/07/08

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