Cheng, Caizhen and Cebon, David. (2011) Parameter and state estimation for articulated heavy vehicles. Vehicle System Dynamics, Vol.49 (No.1-2). pp. 399-418. ISSN 0042-3114

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Abstract

This article discusses algorithms to estimate parameters and states of articulated heavy vehicles. First, 3- and 5-degrees-of-freedom linear vehicle models of a tractor semitrailer are presented. Vehicle parameter estimation methods based on the dual extended Kalman filter and state estimation based on the Kalman filter are presented. A program of experimental tests on an instrumental heavy goods vehicle is described. Simulation and experimental results showed that the algorithms generate accurate estimates of vehicle parameters and states under most circumstances.

Item Type:	Journal Article
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions:	Faculty of Science > Engineering
Journal or Publication Title:	Vehicle System Dynamics
Publisher:	Taylor & Francis Ltd.
ISSN:	0042-3114
Date:	2011
Volume:	Vol.49
Number:	No.1-2
Number of Pages:	20
Page Range:	pp. 399-418
Identification Number:	10.1080/00423110903406656
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/45897

Data sourced from Thomson Reuters' Web of Knowledge

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