Modeling and filtering of FOG drift data and its application in SINS gyrocompass self-alignment

被引：0
|
作者：
Li, Yao [1 ,2 ]
Xu, Xiao-Su [1 ,2 ]
Chen, Chen [1 ,2 ]
机构：
[1] School of Instrument Science & Engineering, Ministry of Education, Southeast University, Nanjing,210096, China
[2] Key Laboratory of Micro-inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing,210096, China
来源：
Kongzhi yu Juece/Control and Decision | 2015年 / 30卷 / 05期
关键词：
Bandpass filters - Air navigation - Stochastic models - Kalman filters - Stochastic systems - Gyroscopes - Time series analysis - Fiber optics - Alignment;
D O I：
10.13195/j.kzyjc.2014.0259
中图分类号：
学科分类号：
摘要：
The fiber optic gyro (FOG) strapdown inertial navigation system (SINS) is researched. Auto-regressive moving average (ARMA) model is built for modeling stochastic errors in FOG by using time series analysis method. The FOG stochastic model is realized in SINS self-alignment. Real-time filtering of FOG stochastic error is realized in the process of SINS gyrocompass self-alignment. The prototype test results show that the proposed method can effectively improve the accuracy of FOG SINS gyrocompass self-alignment. ©, 2015, Northeast University. All right reserved.
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收藏
页码：934 / 938
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