一种混合建模方法在陀螺漂移预测中的应用研究  

Applied research of a hybrid modeling method for forecasting gyro drift

作　　者：周志杰[1] 胡昌华[1] 韩晓霞 

机构地区：[1]第二炮兵工程学院302教研室,陕西西安710025 [2]中联西北工程设计研究院,陕西西安710082

出　　处：《系统工程与电子技术》2007年第3期416-418,共3页Systems Engineering and Electronics

摘　　要：陀螺仪作为惯性导航系统的核心惯性器件,其漂移性能直接影响导航的精确性,分析陀螺漂移的变化趋势并预测由漂移所引发的陀螺故障具有重要的意义。提出一种基于灰色理论和平稳时间序列分析的混合建模方法,并将其用于预测陀螺漂移。实验结果表明该混合建模预测方法能够精确地预测陀螺的漂移,从而为陀螺的性能分析和故障预报提供依据。同时与单一预测方法相比,该混合方法具有较强的预测能力。Gyro is a very important device in the navigation system and its drift directly decides the navigation precision. So it is necessary to forecast the gyro drift. In this paper, a hybrid modeling and forecasting method based on grey theory and stationary time series analysis is presented, and it is used in gyro drift forecasting. The results of experiments show that the gyro drift can be forecasted precisely, which can provide a basis for gyro performance analysis and fault prediction. At the same time, it can be concluded that the hybrid modeling method has a higher forecasting precision than the single forecasting method.

关 键 词：陀螺漂移 混合建模 灰色理论 平稳时间序列 

分 类 号：TN911.7[电子电信—通信与信息系统]