FDI using multiple parity vectors for redundant inertial sensors
FDI using multiple parity vectors for redundant inertial sensors
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DOI：
10.3166/ejc.12.437-449
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发表时间：
2006-07-01
影响因子：
3.4
通讯作者：
Shim, Duk-Sun
中科院分区：
文献类型：
--
作者：
Yang, Cheol-Kwan;Shim, Duk-Sun
本文讨论了惯性导航系统 (INS) 中冗余传感器的故障检测、隔离和调节 (FDIA) 问题。建议采用平均奇偶校验向量（APV）方法来提高正确隔离的概率，减少误报和错误隔离的数量。该方法采用了一种基于估计变量误差协方差的新调节阈值，该阈值与 INS 的导航精度有关。该适应阈值也用作故障检测阈值，因此APV算法仅检测不可容忍的故障。给定正确隔离的条件概率，根据故障大小给出最小样本测量数量。计算机仿真和实验结果验证了该方法的有效性。
This paper discusses fault detection, isolation, and accommodation (FDIA) problem of redundant sensors in inertial navigation systems (INS). The averaged parity vector (APV) method is suggested to improve the probability of correct isolation and reduce the numbers of false alarms and wrong isolation. The proposed method employs a new, accommodation threshold based on the error covariance of an estimated variable, which is related to the navigation accuracy of INS. This accommodation threshold is also used as the fault detection threshold, so the A P V algorithm detects only non-tolerable faults. Given a conditional probability of correct isolation, the minimum number of sample measurements is given with respect to fault size. Computer simulation and experimental results verify the validity of the proposed method.