A Study of Fault Detection and System Reconfiguration for UAV Navigation System Based on RBF Neural Network

被引：0
|
作者：
Yuan Dongli [1 ]
Yan Jianguo [1 ]
Xi Qingbiao [2 ]
机构：
[1] Northwest Polytech Univ, Coll Automat, Xian, Shaanxi Prov, Peoples R China
[2] Northwest Polytech Univ, Xian ASN Tech Grp, Xian, Shaanxi Prov, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
FDI (fault detection and isolation); system reconfiguration; UAV (Unmanned Aerial Vehicle); integrated navigation; RBF neural network;
D O I：
10.1109/WCICA.2008.4594424
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 the field of aeronautics and astronautics, the guidance and navigation system play so important role that it will bring huge loss once that system do wrong. Accordingly, besides detecting carefully and completely on the ground, after in the air, it is quite necessary to detect real time and take corresponding measure when the fault is found. Due to the nonlinearity and complexity of UAV integrated navigation system, this paper puts forward a method of fault detection, fault isolation and system reconfiguration based on RBF neural network. This kind of method can realize on line fault detection, fault isolation and system reconfiguration; so that, it can ensure the navigation precision of UAV integrated navigation system satisfy with performance request.
引用
收藏
页码：55 / +
页数：2
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