Since hale uav has a feature of high altitude and long endurance , the probability of control surface failures is increased highly . when it does happen , the failure would most likely result in fatal accidents 由于它飛行高度高、續(xù)航時間長,使得執(zhí)行任務期間飛行控制系統(tǒng)出現(xiàn)故障的概率大大增加,這類系統(tǒng)一旦發(fā)生事故就會造成巨大損失。
In this thesis , the ann is designed to a failure sorter which is used to detect the failure of control surfaces in order to get the losing status of each control surface and improve the rapidity and precision of the control surface failure detection 由于神經(jīng)網(wǎng)絡的非線性映射和并行計算能力,本文將神經(jīng)網(wǎng)絡作為一個故障分類器用于全局舵面的故障檢測,通過神經(jīng)網(wǎng)絡對故障信號的分類檢測舵面故障并得到舵面的損失情況,目的是提高檢測的速度和精度。
In this thesis , the ann is designed to a failure sorter which is used to detect the failure of control surfaces in order to get the losing status of each control surface and improve the rapidity and precision of the control surface failure detection . here , it is a control law robust , learning kinds of faults peculiarity , adopting in - out data to training net . causing training , we can raise its precision and speed 本文將神經(jīng)網(wǎng)絡作為一個控制器用于故障狀態(tài)下的控制律重構(gòu),通過神經(jīng)網(wǎng)絡學習各種故障狀態(tài)的非線性特性,同時實時采集系統(tǒng)運行時的輸入輸出值作為訓練數(shù)據(jù)進行訓練,以此來提高重構(gòu)的速度和精度。