Title
New regressors for the direct identification of tire deformation in road vehicles via "In-tire" accelerometers
Date Issued
01 July 2008
Access level
metadata only access
Resource Type
journal article
Author(s)
Savaresi S.
Tanelli M.
Langthaler P.
Johannes Kepler University
Publisher(s)
IEEE
Abstract
The interaction between the tire and the road is crucial for determining the dynamic behavior of a road vehicle, and the road-tire contact forces are key variables in the design of traction, braking, and stability control systems. Traditionally, road-tire contact forces are indirectly estimated from vehicle-dynamics measurements (chassis accelerations, yaw-roll rates, suspension deflections, etc.). The emerging of the "smart-tire" concept (tire with embedded sensors and digital-computing capability) has made possible, in principle, a more direct estimation of contact forces. In this field-still in its infancy-the main open problems are the choice of the sensor(s) and the choice of the regressor(s) to be used for force estimation. The objective of this work is to present a new sensor-regressor choice, and to provide some preliminary experimental results, which confirm the validity of this choice. The idea is to use a wheel encoder and an accelerometer mounted directly in the tire. The measurement of the in-tire acceleration is transmitted through a wireless channel. The key innovative concept is to use the phase shift between the wheel encoder and the pulse-like signals provided by the accelerometer as the main regressor for force estimation. © 2008 IEEE.
Start page
769
End page
780
Volume
16
Issue
4
Language
English
OCDE Knowledge area
Sistemas de automatización, Sistemas de control
Scopus EID
2-s2.0-46849094898
Source
IEEE Transactions on Control Systems Technology
ISSN of the container
10636536
Sponsor(s)
Manuscript received October 25, 2006; revised April 30, 2007. Manuscript received in final form August 30, 2007. Recommended by Associate Editor I. Haskara. This work was supported in part by the Italian Ministry for University and Research (MIUR) project “New methods for identification and adaptive control for industrial systems” and the project 22/2004 “Smart tires: tire-road friction forces estimation via signal processing of innovative sensors,” within a scientific collaboration program between Italy (represented by the Politecnico di Milano, Milano, Italy) and Austria (represented by the Johannes Kepler University, Linz, Austria). This work was also supported by the Pirelli Tyres S.p.A., Milano, Italy.
Sources of information: Directorio de Producción Científica Scopus