Skip to Main content Skip to Navigation
Book sections

Estimation of Road Adhesion Coefficient Using Higher-Order Sliding Mode Observer for Torsional Tyre Model

Abstract : The estimation of friction coefficient for a vehicle when it traverses on different surfaces has been an important issue. In this paper, a super-twisting algorithm based sliding mode observer is proposed to estimate the road adhesion coefficient, treated as an unknown input in the dynamics of a quarter-vehicle. By estimating the road adhesion coefficient, the coefficient of friction can be estimated. Simulation results show the effectiveness of the proposed observer in estimation of the road adhesion coefficient that changes with surface variations
Document type :
Book sections
Complete list of metadata

https://hal-uphf.archives-ouvertes.fr/hal-03621911
Contributor : Mylène Delrue Connect in order to contact the contributor
Submitted on : Monday, March 28, 2022 - 3:58:02 PM
Last modification on : Wednesday, April 27, 2022 - 5:10:02 PM

Links full text

Identifiers

Collections

Citation

Jagat Jyoti Rath, Kalyana Chakravarthy Veluvolu, D. Zhang, Q. Zhang, Michael Defoort. Estimation of Road Adhesion Coefficient Using Higher-Order Sliding Mode Observer for Torsional Tyre Model. Intelligent Robotics and Applications, 8103, Springer Berlin Heidelberg, pp.202-213, 2013, Lecture Notes in Computer Science, ⟨10.1007/978-3-642-40849-6_18⟩. ⟨hal-03621911⟩

Share

Metrics

Record views

4