Identification of human arm viscoelastic properties during vehicle steering maneuver

Author

Marouf, Alaa ; Pudlo, Philippe ; Sentouh, Chouki ; Djemai, M.

Author_Institution

Univ. Lille Nord de France, Lille, France

fYear

2014

fDate

5-8 Oct. 2014

Firstpage

3342

Lastpage

3347

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.

Keywords

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; Gravity; Mathematical model; Roads; Torque; Vehicles; Wheels; Electric power assisted steering (EPAS); HIL; human arm viscoelastic properties; system identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on

Conference_Location

San Diego, CA

Type

conf

DOI

10.1109/SMC.2014.6974443

Filename

6974443