光纤陀螺随机漂移建模与分析  

Modeling and analysis of fiber optic gyroscope random drifts

作　　者：白俊卿[1] 张科[1] 卫育新[2] 

机构地区：[1]西北工业大学航天学院,西安710072 [2]中国航天科技集团公司第十六研究所,西安710100

出　　处：《中国惯性技术学报》2012年第5期621-624,共4页Journal of Chinese Inertial Technology

基　　金：航天支撑基金(NAXW0006)

摘　　要：光纤陀螺精度是惯导系统精度高低与否的关键因素,而减小陀螺随机漂移是提高其精度的重要手段。对陀螺输出数据中的随机漂移建立模型,在此基础上对陀螺数据进行滤波,可以有效提高光纤陀螺的输出精度,从而提高惯导系统的精度。本文通过大量实验建立了光纤陀螺随机漂移的ARMA模型,通过有效滤波对随机漂移进行滤除,并且对滤波结果进行Allan方差分析。分析结果表明,光纤陀螺输出信号中存在的主要误差源以及正弦噪声较滤波前明显减小到50%,有效地抑制了高频噪声,验证了光纤陀螺随机漂移建立模型的正确性。本文还设计了可视化软件,具有较高的工程意义。The precision level of fiber optic gyro is the key factor of inertial navigation system,and reducing the gyro random drifts is an important means to improve the precision.Building the model of gyroscope random drift and filtering it can effectively improve the output precision of fiber optic gyro and then improve the accuracy of inertial navigation system.In this paper,the ARAM model of fiber optic gyro random drifts was built through numerous experiments,in which the random drifts were effectively filtered.The filtering results were analyzed by Allan variance analysis.The result shows that the main error sources and the sinusoidal noise in fiber optic gyro output signal are reduced to about 50% of that before filtering,and the high frequency noise is effectively restrained.It is proved that the fiber gyro random drift model is effective and feasible.The visualization software was designed at the same time,makeing it valuable for engineering application.

关 键 词：ARMA模型 Allan方差分析 可视化软件 

分 类 号：U666.1[交通运输工程—船舶及航道工程]