{"title":"An Improved Fault Detection and Isolation Method for Airborne Inertial Navigation System/Attitude and Heading Reference System Redundant System","authors":"Yuting Dai, Jizhou Lai, Qieqie Zhang, Zhimin Li, Yugui Shen","doi":"10.3390/aerospace10121024","DOIUrl":null,"url":null,"abstract":"The integrity of airborne inertial navigation systems (INSs) is the key to ensuring the safe flight of civil aircraft. The airborne attitude and heading reference system (AHRS) is introduced into the construction of a redundant inertial navigation system. As a backup system for an airborne INS, the AHRS exhibits a different device performance. A sequential weighted generalized likelihood ratio test (SWGLT) method, based on a principal component parity vector (PPV), is proposed. The PPV method improves the adaptability of the detection threshold to the inertial sensors’ noise and improves the probability of correct detection. At the same time, the multiscale problem of a heterogeneous redundant system error is solved by sequential weighting, and the false alarm rate is reduced. Simulation experiments show that the proposed method can improve fault detection sensitivity, reduce false alarm rates, and ensure the integrity of civil aircraft navigation systems.","PeriodicalId":48525,"journal":{"name":"Aerospace","volume":"23 8","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerospace","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/aerospace10121024","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
引用次数: 0
Abstract
The integrity of airborne inertial navigation systems (INSs) is the key to ensuring the safe flight of civil aircraft. The airborne attitude and heading reference system (AHRS) is introduced into the construction of a redundant inertial navigation system. As a backup system for an airborne INS, the AHRS exhibits a different device performance. A sequential weighted generalized likelihood ratio test (SWGLT) method, based on a principal component parity vector (PPV), is proposed. The PPV method improves the adaptability of the detection threshold to the inertial sensors’ noise and improves the probability of correct detection. At the same time, the multiscale problem of a heterogeneous redundant system error is solved by sequential weighting, and the false alarm rate is reduced. Simulation experiments show that the proposed method can improve fault detection sensitivity, reduce false alarm rates, and ensure the integrity of civil aircraft navigation systems.
机载惯性导航系统（INS）的完整性是确保民用飞机安全飞行的关键。机载姿态和航向参考系统（AHRS）被引入到冗余惯性导航系统的构建中。作为机载 INS 的备份系统，AHRS 表现出不同的设备性能。本文提出了一种基于主成分奇偶校验向量（PPV）的顺序加权广义似然比检验（SWGLT）方法。PPV 方法提高了检测阈值对惯性传感器噪声的适应性，并提高了正确检测的概率。同时，通过顺序加权解决了异构冗余系统误差的多尺度问题，降低了误报率。仿真实验表明，所提出的方法可以提高故障检测灵敏度，降低误报率，确保民用飞机导航系统的完整性。
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