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Neural network based automatic limit prediction and avoidance system and method

机译:基于神经网络的自动极限预测与回避系统及方法

摘要

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.
机译:一种用于车辆控制系统的性能包络边界提示的方法,包括以下步骤:制定用于神经网络的预测系统,以及训练该神经网络以根据当前控制位置和当前车辆运行状况来预测有限参数的值。该方法进一步包括将神经网络应用于车辆的控制系统的步骤,其中车辆具有测量当前控制位置和当前车辆运行状况的能力。神经网络生成当前控制位置和车辆工况相对于预定车辆工况中的受限参数的映射。该方法从驱动车辆到性能包络线边界所需的当前控制位置估计关键控制偏差。最后,该方法包括以下步骤:将临界控制偏差传达给车辆控制系统;当控制位置接近临界控制偏差时,驱动车辆控制系统以向车辆的操作者提供触觉提示。

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