A novel fault detection algorithm for integrated navigation system

被引：0
作者：
Wu, You-Long [1 ,2 ]
Wang, Xiao-Ming [2 ]
Cao, Peng [2 ]
Yang, Zhong [1 ]
机构：
[1] Institute of Intelligence Science and Control Engineering, Jinling Institute of Technology, Nanjing, 211169, Jiangsu
[2] School of Mechanical Engineering, Nanjing University of Science & Technology, Nanjing, 210094, Jiangsu
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2015年 / 35卷 / 05期
关键词：
Correlation coefficient; Fault detection and isolation; Integrated navigation; Standard residual;
D O I：
10.15918/j.tbit1001-0645.2015.05.012
中图分类号：
学科分类号：
摘要：
To improve the fault tolerance performance of the integrated navigation system, it is necessary to have a mechanism to validate the filter measurements in real-time, to decide which parts of observations can be used to estimate the whole state. Therefore, real-time fault detection and isolation algorithm should be provided in the filter to guarantee the stability of the integrated navigation system. To detect and isolate abrupt faults problem in navigation system, an improved algorithm was proposed. The proposed algorithm was based on the local test of standard residual vector. The influence of correlation coefficient between any two test statistics on the probability of miss-identification was analyzed and used to improve the success rate of fault localization. It can not only detect the system error, but also identify the abrupt fault measurement so as to isolate it with a high success rate. The experimental results show that the proposed method can improve the integrated navigation system accuracy effectively by using the validated redundant observation. ©, 2015, Beijing Institute of Technology. All right reserved.
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页码：494 / 499
页数：5
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