Fault-Tolerant Filtering Algorithm for SINS/BDS Tightly-coupled Integrated Navigation System

被引：0
|
作者：
Zhou Benchuan [1 ]
Lu Hao [1 ]
Xu Jianyun [1 ]
Zhang Hongbo [2 ]
机构：
[1] China Airborne Missile Acad, Aviat Key Lab Sci & Technol Airborne Guided Weap, Luoyang 471099, Henan, Peoples R China
[2] China Airborne Missile Acad, PLAs Mil Representat Off, Luoyang 471099, Henan, Peoples R China
来源：
2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2018年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The effective fault diagnosis is the basis of system reliability and accuracy in SINS/BDS tightly-coupled integrated navigation system. The state equation and measurement equation in the launch inertial frame are modeled. A fault-tolerant Kalman filtering algorithm is proposed, the improved chi-square test method is designed to realize the detection and screening of BDS measurement fault. The simulation results illustrate that the fault-tolerant Kalman filter can effectively detect faults, the velocity error and the position error are controlled within 0.3 m/s and 20m repectively.
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页数：5
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