Adaptive identification for heavy-truck stability control.

Author(s)
Palkovics, L. Michelberger, P. Bokor, J. & Gáspár, P.
Year
Abstract

A new procedure is proposed to predict the vehicle behaviour when the vehicle is approaching to some critical point (roll-over, jackknifing). The on-board computer automatically identifies some of the vehicle's parameters, and runs the vehicle model getting the information from the sensors installed on the vehicle. When the vehicle is approaching to some stability limit the safety system is activated. An adaptive linear quadratic Gaussian (LQG) controller is calculated at each time step of the identification phase as an estimate of the plant parameters from which the parameters of the LQG controller are updated. Meanwhile the parameters of the controller are modified in order to get an adaptive robust controller with the attractive properties of the linear quadratic (LQ) controller in such a way that loop transfer recovery (LTR) of the original state feedback is achieved. (A )

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Publication

Library number
C 5812 (In: C 5793) /91 / IRRD 882969
Source

In: The dynamics of vehicles on roads and on tracks : proceedings of the 14th IAVSD symposium, held in Ann Arbor, Michigan, USA, August 21-25, 1995, p. 502-518, 7 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.