Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing

Stefano Sabatini, Simone Formentin, Giulio Panzani, Jorge De J.Lozoya Santos, Sergio Matteo Savaresi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1892-1897
Number of pages6
Volume2017-January
ISBN (Electronic)9781509021826
DOIs
Publication statusPublished - 6 Oct 2017
Event1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States
Duration: 27 Aug 201730 Aug 2017

Conference

Conference1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
CountryUnited States
CityKohala Coast
Period27/8/1730/8/17

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Hardware and Architecture
  • Software
  • Control and Systems Engineering

Cite this

Sabatini, S., Formentin, S., Panzani, G., Santos, J. D. J. L., & Savaresi, S. M. (2017). Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing. In 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 (Vol. 2017-January, pp. 1892-1897). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCTA.2017.8062732