Urbina Marquez Leopoldo
Duchanoy Martínez Carlos Alberto
Moreno Armendáriz Marco Antonio
Cruz Villar Carlos Alberto
Calvo Castro Francisco Hiram
Título A novel tire contact patch soft sensor via Neural Networks
Tipo Congreso
Sub-tipo SCOPUS
Descripción 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2015)
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 training and validated. Thus, a soft sensor that accurately estimates this variable is the main contribution of this work.
Observaciones Aceptado y por publicar
Lugar Cinvestav DF
País Mexico
No. de páginas 1-6
Vol. / Cap.
Inicio 2015-10-26
Fin 2015-10-30