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

Resultado de la investigación

1 Cita (Scopus)

Resumen

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.

Idioma originalEnglish
Título de la publicación alojada1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1892-1897
Número de páginas6
Volumen2017-January
ISBN (versión digital)9781509021826
DOI
EstadoPublished - 6 oct 2017
Evento1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast
Duración: 27 ago 201730 ago 2017

Conference

Conference1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
PaísUnited States
CiudadKohala Coast
Período27/8/1730/8/17

Huella dactilar

Motorcycles
Tire
Tires
Global positioning system
Sensing
Radius
Traction control
Deflation
Vehicle Dynamics
Signal Processing
Signal processing
Safety
Monitoring
Sampling
Sensor
Sensors
Estimate

All Science Journal Classification (ASJC) codes

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

Citar esto

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. En 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
Sabatini, Stefano ; Formentin, Simone ; Panzani, Giulio ; Santos, Jorge De J.Lozoya ; Savaresi, Sergio Matteo. / Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing. 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1892-1897
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title = "Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing",
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.",
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Sabatini, S, Formentin, S, Panzani, G, Santos, JDJL & Savaresi, SM 2017, Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing. En 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1892-1897, Kohala Coast, 27/8/17. https://doi.org/10.1109/CCTA.2017.8062732

Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing. / Sabatini, Stefano; Formentin, Simone; Panzani, Giulio; Santos, Jorge De J.Lozoya; Savaresi, Sergio Matteo.

1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1892-1897.

Resultado de la investigación

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AB - 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.

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Sabatini S, Formentin S, Panzani G, Santos JDJL, Savaresi SM. Motorcycle tire rolling radius estimation for TPMS applications via GPS sensing. En 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1892-1897 https://doi.org/10.1109/CCTA.2017.8062732