Least Squares Method Applied to Rail Vehicle Contact Condition Monitoring

Charles, Guy, Dixon, R. and Goodall, Roger M. (2008) Least Squares Method Applied to Rail Vehicle Contact Condition Monitoring. In: Proceedings of the 17th IFAC World Congress, 2008. International Federation of Automatic Control, pp. 7451-7456. ISBN 9783902661005

PDF - Published Version Restricted to Repository staff only Download (625kB)

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.

Item Type:	Book Chapter
Subjects:	T Technology > TF Railroad engineering and operation
Schools:	School of Computing and Engineering School of Computing and Engineering > Institute of Railway Research
Depositing User:	Cherry Edmunds
Date Deposited:	12 Jul 2013 11:50
Last Modified:	28 Aug 2021 19:51
URI:	http://eprints.hud.ac.uk/id/eprint/17946

Downloads

Repository Staff Only: item control page

View Item