一种混合建模方法在陀螺漂移预测中的应用研究

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。

Applied research of a hybrid modeling method for forecasting gyro drift

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.