Title
Estimation of tire parameters via second-order sliding mode observers with unknown inputs
Abstract
This paper considers the identification of unknown parameters related to a vehicle tire model using second-order sliding mode techniques. In a tailored two-stage procedure unknown input state observers recover the characteristic tire parameters. One of them is based on a modified super-twisting algorithm that extends the class of feasible uncertainties. In contrast to other methods for identification of tire parameters, typically requiring extensive sensor equipment, the proposed mechanisms only rely on standard measurement sensors. Furthermore, the algorithms are employable in-vehicle for online identification of model parameters. The overall concept is evaluated by the use of a complex vehicle dynamics simulation software environment.
Year
DOI
Venue
2014
10.1109/VSS.2014.6881108
Variable Structure Systems
Keywords
DocType
ISSN
automobiles,observers,parameter estimation,sensors,tyres,uncertain systems,variable structure systems,complex vehicle dynamics simulation software environment,feasible uncertainties,measurement sensors,modified super-twisting algorithm,online identification,second-order sliding mode observers,second-order sliding mode techniques,sensor equipment,state observers,tire parameter estimation,tire parameter identification,unknown parameter identification,vehicle tire model
Conference
2158-3978
Citations 
PageRank 
References 
1
0.36
6
Authors
3
Name
Order
Citations
PageRank
Tafner, R.110.36
Markus Reichhartinger26113.35
Martin Horn34824.11