Paper Info
Title
Identification of human arm viscoelastic properties during vehicle steering maneuver
Abstract
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
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 Marouf121.07
Philippe Pudlo2114.63
Chouki Sentouh39614.73
M. Djemaϊ46916.61