High-sensitivity fault detection and identification method for INS/ADS/GPS integrated navigation

被引：0

作者：

Li Z. ^{[1
]}

Cheng Y. ^{[1
]}

Liu G. ^{[2
]}

Xu M. ^{[1
]}

Feng X. ^{[1
]}

机构：

[1] School of Automation, Northwestern Polytechnical University, Xi'an

[2] AVIC Xi'an Flight Automatic Control Research institute, Xi'an

来源：

Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology | 2020年 / 28卷 / 05期

关键词：

Fault mode identification; Gradual fault detection; High sensitivity; Sequential chi-square detection;

D O I：

10.13695/j.cnki.12-1222/o3.2020.05.020

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The chi-square fault detection method cannot precisely locate the specific dimension of the subsystem variables, and sensitively detect soft fault. An INS/ADS/GPS high-sensitivity fault detection and identification algorithm is proposed. The proposed algorithm establishes two sequential fault detection models of INS/GPS, INS/ADS by introducing sequential filter. To solve the problem of low sensitivity of soft fault detection, forgetting-sequential probability ratio test(F-SPRT) based on fading memory factor is proposed. Combining F-SPRT with sequential chi-square detection, the high-sensitivity fault detection and identification architecture is realized. The simulation results show that under the condition that the false alarm rate is 0.1%, compared with the traditional sequential probability ratio test (SPRT) method, the sensitivity of the proposed algorithm is increased by 2 times respectively, and fault mode can be identified effectively. © 2020, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.

引用

页码：694 / 700

页数：6

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