Identification of human arm viscoelastic properties during vehicle steering maneuver

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.

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