Observer based traction/braking control design for high speed trains considering adhesion nonlinearity
type: Item
instance of: scholarly article
title: Observer based traction/braking control design for high speed trains considering adhesion nonlinearity
zbMATH Open document ID: 1406.93139
DOI: 10.1155/2014/968017
author: Wenchuan Cai
author: Wenhao Liao
author: Dan-Yong Li
author: Yongduan Song
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: Train traction/braking control, one of the key enabling technologies for automatic train operation, literally takes its action through adhesion force. However, adhesion coefficient of high speed train (HST) is uncertain in general because it varies with wheel-rail surface condition and running speed; thus, it is extremely difficult to be measured, which makes traction/braking control design and implementation of HSTs greatly challenging. In this work, force observers are applied to estimate the adhesion force or/and the resistance, based on which simple traction/braking control schemes are established under the consideration of actual wheel-rail adhesion condition. It is shown that the proposed controllers have simple structure and can be easily implemented from real applications. Numerical simulation also validates the effectiveness of the proposed control scheme.
Mathematics Subject Classification ID: 93C20
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 93C95
zbMATH DE Number: 7023417
zbMATH Keywords: traction/braking control
zbMATH Keywords: high speed trains
zbMATH Keywords: adhesion nonlinearity
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/968017
OpenAlex ID: W2068683086
Wikidata QID: Q59043189
cites work: The optimal control of a train
cites work: Mixed H2/H cruise controller design for high speed train
cites work: Output Feedback Control of Markovian Jump Repeated Scalar Nonlinear Systems
description: scientific article; zbMATH DE number 7023417