Adaptive nonlinear tire-road friction force estimation for vehicular systems based on a novel differentiable friction model
type: Item
instance of: scholarly article
title: Adaptive nonlinear tire-road friction force estimation for vehicular systems based on a novel differentiable friction model
zbMATH Open document ID: 1394.70042
DOI: 10.1155/2015/201062
author: Zhi-Jun Fu
author: Wei-Dong Xie
author: Xiao-Bin Ning
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: A novel adaptive nonlinear observer-based parameter estimation scheme using a newly continuously differentiable friction model has been developed to estimate the tire-road friction force. The differentiable friction model is more flexible and suitable for online adaptive identification and control with the advantage of more explicit parameterizable form. Different from conventional estimation methods, the filtered regression estimation parameter is introduced in the novel adaptive laws, which can guarantee that both the observer error and parameter error exponentially converge to zero. Lyapunov theory has been used to prove the stability of the proposed methods. The effectiveness of the estimation algorithm is illustrated via a bus simulation model in the Trucksim software and simulation environment. The relatively accurate tire-road friction force was estimated just by the easily existing sensors signals wheel rotational speed and vehicle speed and the proposed method also displays strong robustness against bounded disturbances.
Mathematics Subject Classification ID: 70F40
Mathematics Subject Classification ID: 93C40
zbMATH DE Number: 6925746
Wikidata QID: Q59117582
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/201062
OpenAlex ID: W2170652375
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description: scientific article; zbMATH DE number 6925746