| 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. |
