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基于奇异值分解的冗余惯导系统故障诊断
引用本文:贾鹏,张洪钺.基于奇异值分解的冗余惯导系统故障诊断[J].宇航学报,2006,27(5):1076-1080.
作者姓名:贾鹏  张洪钺
作者单位:北京航空航天大学,自动化科学与电气工程学院,北京,100083
摘    要:为了验证奇异值分解法(SVD)存冗余惯性组件系统故障诊断中的实用性,进行了一系列的研究。以沿正十二面体对称侧面配置的六陀螺冗余惯件组件为平台,对2种基于奇异值分解的故障诊断方法进行了相心的实验,分析了不同类型故障下的故障诊断效果及其原因。实验结果证明了方法在实际应用中的有效性,2种疗法均可以正确的诊断出故障。奇异值分解法中的方法2不仅可以检测一个陀螺的故障,还可以检测2个陀螺同时发生故障的情况,有更广泛的实用价值。

关 键 词:奇异值分解法  故障诊断  冗余惯性组件
文章编号:1000-1328(2006)05-1076-05
收稿时间:05 15 2006 12:00AM
修稿时间:2006-05-152006-07-20

Fault Detection for Redundant Inertial Navigation System Based on SVD Method
JIA Peng,ZHANG Hong-yue.Fault Detection for Redundant Inertial Navigation System Based on SVD Method[J].Journal of Astronautics,2006,27(5):1076-1080.
Authors:JIA Peng  ZHANG Hong-yue
Institution:School of Automation Science and Electrical Engineering, Beihang Univercity, Beijing 100083, China
Abstract:The single valued decomposed(SVD) method applied in FDI of redundant inertial navigation system was mainly researched.2 FDI methods were discussed based on SVD;in which 2~(nd) method can detect the situation of 2 faults occur simultaneously.Based on the six-gyroscope redundant inertial measurement unit,different performances of these methods were evaluated;the possible causes which affect their fault detection capability were analyzed.The result proves that the SVD method is effective in practice.
Keywords:Single valued decomposed  Fault dctection  Redundant inertial measurement unit
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