A novel tire contact patch soft sensor via Neural Networks

Leopoldo Urbina, Carlos A. Duchanoy, Gamaliel Faustino-González, Marco A. Moreno-Armendáriz, Carlos A. Cruz-Villar, Hiram Calvo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

In this paper, a novel application of a soft sensor via Neural Networks is proposed. One of the most critical issues in the car is the area where the tires are in contact with the ground, these are the only points of contact between the vehicle and the road. The importance lies in the fact that keeping the tire contact patch within the operational parameters ensures the safety, comfort and maneuverability of the vehicle. There are some techniques to measure the tire contact patch, but the operating conditions of the car make impossible the implementation; so in this work the tire contact patch is obtained by the frustrated total internal reflection phenomenon and with the measures of 12 sensors in the car, a Neural Network is trained and tested. Thus, a soft sensor that accurately estimates this variable is the main contribution of this work.

Idioma originalInglés
Título de la publicación alojada2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781467378390
DOI
EstadoPublicada - 14 dic. 2015
Evento12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015 - Mexico City, México
Duración: 26 oct. 201530 oct. 2015

Serie de la publicación

Nombre2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015

Conferencia

Conferencia12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015
País/TerritorioMéxico
CiudadMexico City
Período26/10/1530/10/15

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