Research and simulation of a fault diagnosis and tolerant algorithm in gravity aided inertial navigation system

被引:1
作者
Xia, Bing [1 ]
Cai, Tijing [1 ]
Yang, Zhuopeng [1 ]
机构
[1] SEU, Sch Instrument Sci & Engn, Nanjing 210096, Peoples R China
来源
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL II | 2009年
关键词
D O I
10.1109/GCIS.2009.373
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Considering the structure and characteristics Of gravity aided navigation system and federal filter, the paper presents a new algorithm of the fault detection isolation and system reset The new, fault-tolerant algorithm changes the traditional fault judgment to the filtering convergence judgment. Based on this algorithm a new fault diagnosis and tolerant method is established, and the method is verified by the simulation of gravity aided inertial integrated navigation system with the new fault toleration algorithm. Simulation results show that the new fault diagnosis and tolerant algorithm can efficiently restrain the fault of the gravity measurement unit, play the gravity aided navigation subsystem for best results and enhance the system accuracy and fault-tolerant performance
引用
收藏
页码:459 / 464
页数:6
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