Please use this identifier to cite or link to this item:
Title: Optimal Linear Parameterization for On-Line Estimation of Tire-Road Friction
Authors: Diamantino Freitas
Ricardo de Castro
Rui Esteves Araujo
Issue Date: 2011
Abstract: In this article, we propose a linear parameterization (LP) for representing the friction in the tire-road interface, suitable for on-line identification. This model was obtained by employing function approximation techniques, which results in an optimization problem to minimize the fitting error between the LP and the nonlinear Burckhardt model. Compared with others LPs proposed in the literature, our LP features a reduced number of parameters and good approximation capabilities. Moreover, the proposed model can be identified though linear identification techniques, simplifying the on-line peak friction estimation. Simulation results obtained with a vehicle simulator demonstrates the effectiveness of the proposed parameterization.
metadata.dc.type: conferenceObject
Appears in Collections:CPES - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
PS-07531.pdf1 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.