Abstract | ||
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This paper presents on-line method to estimate the driver's arm viscoelastic properties during vehicle steering maneuver. A model of driver's arm impedance was coupled to the Electric Power Assisted Steering System (EPAS) model. The inputs-output of the impedance model are estimated and then used in the implementation of Exponentially Weighted Recursive Least Squares (EWRLS) algorithm to estimate the model properties. The validity of this approach is demonstrated using human and Hardware-In-the-Loop (HIL) testing. |
Year | DOI | Venue |
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2014 | 10.1109/SMC.2014.6974443 | Systems, Man and Cybernetics |
Keywords | DocType | ISSN |
least squares approximations,steering systems,vehicles,viscoelasticity,EPAS model,EWRLS algorithm,HIL testing,driver arm impedance,electric power assisted steering system,exponentially weighted recursive least squares algorithm,hardware-in-the-loop testing,human arm viscoelastic property identification,impedance model,model property estimation,online method,vehicle steering maneuver,Electric power assisted steering (EPAS),HIL,human arm viscoelastic properties,system identification | Conference | 1062-922X |
Citations | PageRank | References |
2 | 0.40 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alaa Marouf | 1 | 2 | 1.07 |
Philippe Pudlo | 2 | 11 | 4.63 |
Chouki Sentouh | 3 | 96 | 14.73 |
M. Djemaϊ | 4 | 69 | 16.61 |