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 language | English |
|---|---|
| Title of host publication | 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1892-1897 |
| Number of pages | 6 |
| Volume | 2017-January |
| ISBN (Electronic) | 9781509021826 |
| ISBN (Print) | 9781509021826 |
| DOIs | |
| Publication status | Published - 6 Oct 2017 |
| Event | 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States Duration: 27 Aug 2017 → 30 Aug 2017 |
Publication series
| Name | 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 |
|---|---|
| Volume | 2017-January |
Conference
| Conference | 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 |
|---|---|
| Country/Territory | United States |
| City | Kohala Coast |
| Period | 27/8/17 → 30/8/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Hardware and Architecture
- Software
- Control and Systems Engineering