发明名称 Neural network based automatic limit prediction and avoidance system and method
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.
申请公布号 US6332105(B1) 申请公布日期 2001.12.18
申请号 US20000576369 申请日期 2000.05.22
申请人 GEORGIA TECH RESEARCH CORPORATION 发明人 CALISE ANTHONY J.;PRASAD JONNALAGADDA V. R.;HORN JOSEPH F.
分类号 G05B13/02;(IPC1-7):G06F7/00 主分类号 G05B13/02
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