초록 ▼

A method for performance envelope boundary cueing for a vehicle control system comprises the steps of formulating a prediction system for a neural network and training the neural network to predict values of limited parameters as a function of current control positions and current vehicle operating

A method for performance envelope boundary cueing for a vehicle control system comprises the steps of formulating a prediction system for a neural network and training the neural network to predict values of limited parameters as a function of current control positions and current vehicle operating conditions. The method further comprises the steps of applying the neural network to the control system of the vehicle, where the vehicle has capability for measuring current control positions and current vehicle operating conditions. The neural network generates a map of current control positions and vehicle operating conditions versus the limited parameters in a pre-determined vehicle operating condition. The method estimates critical control deflections from the current control positions required to drive the vehicle to a performance envelope boundary. Finally, the method comprises the steps of communicating the critical control deflection to the vehicle control system; and driving the vehicle control system to provide a tactile cue to an operator of the vehicle as the control positions approach the critical control deflections.

대표청구항 ▼

[ We claim:] [1.]1. A vehicle performance envelope boundary cueing method for a vehicle control system, said method comprising the steps of:formulating a prediction system for a neural network; andtraining said neural network to predict values of limited parameters as a function of current control p

[ We claim:] [1.]1. A vehicle performance envelope boundary cueing method for a vehicle control system, said method comprising the steps of:formulating a prediction system for a neural network; andtraining said neural network to predict values of limited parameters as a function of current control positions and current vehicle operating conditions.