Estimation Approach of Road Friction Coefficient Based on Nonlinear Observer

In this paper, an algorithm for estimating road friction coefficient based on nonlinear observer is proposed. To solve the problem of the real-time estimation of road friction coefficient while steering, a nonlinear vehicle model is established, and a full-order observer is developed to estimate fro...

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Main Authors: DING Xiying, PEI Yanliang, ZHANG Hongyue, YU Hua
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2012-01-01
Series:Kongzhi Yu Xinxi Jishu
Subjects:
Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2012.05.005
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author DING Xiying
PEI Yanliang
ZHANG Hongyue
YU Hua
author_facet DING Xiying
PEI Yanliang
ZHANG Hongyue
YU Hua
author_sort DING Xiying
collection DOAJ
description In this paper, an algorithm for estimating road friction coefficient based on nonlinear observer is proposed. To solve the problem of the real-time estimation of road friction coefficient while steering, a nonlinear vehicle model is established, and a full-order observer is developed to estimate front tire aligning moment. According to the vehicle lateral dynamic characteristics, and the error between the measurements of vehicle sensors and the outputs of vehicle model as observer’s Luenberger-type feedback terms, the vehicle sensors are fully used. By means of Lyapunov stability theory, the observer gain is confirmed, and the estimated algorithm is verified under Matlab/Simulink environment. The simulation results show that the estimated algorithm has a good performance under different road conditions.
format Article
id doaj-art-aaacc74e295b4962b70275d08fa6fbd7
institution Kabale University
issn 2096-5427
language zho
publishDate 2012-01-01
publisher Editorial Office of Control and Information Technology
record_format Article
series Kongzhi Yu Xinxi Jishu
spelling doaj-art-aaacc74e295b4962b70275d08fa6fbd72025-08-25T06:56:33ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272012-01-0129555982338622Estimation Approach of Road Friction Coefficient Based on Nonlinear ObserverDING XiyingPEI YanliangZHANG HongyueYU HuaIn this paper, an algorithm for estimating road friction coefficient based on nonlinear observer is proposed. To solve the problem of the real-time estimation of road friction coefficient while steering, a nonlinear vehicle model is established, and a full-order observer is developed to estimate front tire aligning moment. According to the vehicle lateral dynamic characteristics, and the error between the measurements of vehicle sensors and the outputs of vehicle model as observer’s Luenberger-type feedback terms, the vehicle sensors are fully used. By means of Lyapunov stability theory, the observer gain is confirmed, and the estimated algorithm is verified under Matlab/Simulink environment. The simulation results show that the estimated algorithm has a good performance under different road conditions.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2012.05.005road friction coefficientvehicle modeltire aligning momentfull-order observernonlinear observer
spellingShingle DING Xiying
PEI Yanliang
ZHANG Hongyue
YU Hua
Estimation Approach of Road Friction Coefficient Based on Nonlinear Observer
Kongzhi Yu Xinxi Jishu
road friction coefficient
vehicle model
tire aligning moment
full-order observer
nonlinear observer
title Estimation Approach of Road Friction Coefficient Based on Nonlinear Observer
title_full Estimation Approach of Road Friction Coefficient Based on Nonlinear Observer
title_fullStr Estimation Approach of Road Friction Coefficient Based on Nonlinear Observer
title_full_unstemmed Estimation Approach of Road Friction Coefficient Based on Nonlinear Observer
title_short Estimation Approach of Road Friction Coefficient Based on Nonlinear Observer
title_sort estimation approach of road friction coefficient based on nonlinear observer
topic road friction coefficient
vehicle model
tire aligning moment
full-order observer
nonlinear observer
url http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2012.05.005
work_keys_str_mv AT dingxiying estimationapproachofroadfrictioncoefficientbasedonnonlinearobserver
AT peiyanliang estimationapproachofroadfrictioncoefficientbasedonnonlinearobserver
AT zhanghongyue estimationapproachofroadfrictioncoefficientbasedonnonlinearobserver
AT yuhua estimationapproachofroadfrictioncoefficientbasedonnonlinearobserver