Friction coefficient estimation using an unscented Kalman filter

Yunshi Zhao, Bo Liang, Simon Iwnicki

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The friction coefficient between a railway wheel and rail surface is a crucial factor in maintaining high acceleration and braking performance of railway vehicles; therefore, monitoring this friction coefficient is important. Due to the difficulty in directly measuring the friction coefficient, the creep force or creepage, indirect methods using state observers are used more frequently. This paper presents an approach using an unscented kalman filter to estimate the creep force and creepage and the friction coefficient from traction motor behaviours. A scaled roller rig is designed and a series of experiments is carried out to evaluate the estimator performance.

Original languageEnglish
Pages (from-to)220-234
Number of pages15
JournalVehicle System Dynamics
Volume52
Issue numberSUPPL. 1
DOIs
Publication statusPublished - 30 May 2014

Fingerprint

Kalman filters
Friction
Creep
Braking performance
Traction motors
Rails
Wheels
Monitoring
Experiments

Cite this

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Friction coefficient estimation using an unscented Kalman filter. / Zhao, Yunshi; Liang, Bo; Iwnicki, Simon.

In: Vehicle System Dynamics, Vol. 52, No. SUPPL. 1, 30.05.2014, p. 220-234.

Research output: Contribution to journalArticle

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