An accurate knowledge of the tire effective rolling radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for rolling radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the rolling radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.

Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing

Sabatini, Stefano;Formentin, Simone;Panzani, Giulio;Savaresi, Sergio Matteo
2017-01-01

Abstract

An accurate knowledge of the tire effective rolling radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for rolling radius estimation have been presented in the literature, but most of them cannot be applied on production vehicles, as they require too accurate measurements or a too high sampling rate. In this work, a signal processing procedure for on-line estimation of the rolling radius is presented, with a focus on motorcycles and pressure monitoring applications. The procedure assumes that a standard production Gps sensor is available and it is tested on a real production motorcycle.
2017
1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
9781509021826
Theoretical Computer Science; Hardware and Architecture; Software; Control and Systems Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1061770
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