為了實現(xiàn)傳感器故障隔離, 傳統(tǒng)方法針對不同故障獨立選取最優(yōu)一致向量。指出為了正確實現(xiàn)故障隔離, 對不同故障選取的最優(yōu)一致向量應(yīng)是相互關(guān)聯(lián)的,并由此提出一種改進的指標(biāo)函數(shù)以獲得最優(yōu)一致向量。基于梯度法得到最優(yōu)一致向量的數(shù)值解。仿真實驗表明提出的方法可正確實現(xiàn)傳感器冗余系統(tǒng)的故障隔離。
關(guān)鍵詞: 故障隔離; 傳感器; 一致向量; 直接冗余; 指標(biāo)函數(shù); 梯度法
Abstract : Traditional methods select optimal parity vectors for different faults independently to realize sensor fault isolation. It is pointed out that the optimal parity vectors selected for different faults have relations with each other in order to realize fault isolation. An improved index function is presented to obtain the optimal parity vec2 tors. The numerical solution of optimal parity vectors is obtained by gradient method. Through simulation experi2 ments ,it is shown that the method can realize fault isolation in sensor redundancy systems correctly.
Key words : fault isolation ; sensor ; parity vector ; direct redundancy ; index function ; gradient method