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. © 2013 Springer-Verlag Berlin Heidelberg.
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Rath, J. J., Veluvolu, K. C., Zhang, D., Zhang, Q., & Defoort, M. (2013). Estimation of road adhesion coefficient using higher-order sliding mode observer for torsional tyre model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8103 LNAI, pp. 202–213). Springer Verlag. https://doi.org/10.1007/978-3-642-40849-6_18
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