INS/ADS/GPS组合导航高灵敏度故障检测和识别方法

Translated title of the contribution: High-sensitivity fault detection and identification method for INS/ADS/GPS integrated navigation

Zhenwei Li, Yongmei Cheng, Gang Liu, Ming Xu, Xintao Feng

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

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.

Translated title of the contributionHigh-sensitivity fault detection and identification method for INS/ADS/GPS integrated navigation
Original languageChinese (Traditional)
Pages (from-to)694-700
Number of pages7
JournalZhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology
Volume28
Issue number5
DOIs
StatePublished - Oct 2020

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