Intelligent fault-tolerant algorithm with two-stage and feedback for integrated navigation federated filtering

被引:11
作者
Cong, Li [1 ]
Qin, Honglei [1 ]
Tan, Zhanzhong [1 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
integrated navigation; federated filter; fuzzy assessment; fault-tolerant fusion; information sharing;
D O I
10.3969/j.issn.1004-4132.2011.02.014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to take full advantage of federated filter in faulttolerant design of integrated navigation system, the limitation of fault detection algorithm for gradual changing fault detection and the poor fault tolerance of global optimal fusion algorithm are the key problems to deal with. Based on theoretical analysis of the influencing factors of federated filtering fault tolerance, global faulttolerant fusion algorithm and information sharing algorithm are proposed based on fuzzy assessment. It achieves intelligent faulttolerant structure with two-stage and feedback, including real-time fault detection in sub-filters, and fault-tolerant fusion and information sharing in main filter. The simulation results demonstrate that the algorithm can effectively improve faulttolerant ability and ensure relatively high positioning precision of integrated navigation system when a subsystem having gradual changing fault.
引用
收藏
页码:274 / 282
页数:9
相关论文
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