基于时间序列建模的陀螺仪随机误差分析

Analysis of Gyroscope Random Error Based on Time-serial Modeling

介绍了基于时间序列分析的陀螺仪随机误差模型的建立,并对误差模型进行滤波补偿的方法。主要是利用e vie w s软件将陀螺仪随机漂移数据进行平稳化处理,然后对处理后的时间序列进行模型的识别与定阶,最后结合kalm an滤波方法对建立随机误差模型滤波补偿。实验结果表明,该方法建立的模型很好地反映了陀螺仪随机漂移的趋势,并有效地抑制了陀螺仪的随机噪声,提高了其输出精度。

This paper describes the establishment of the random error model of the gyroscope based on the time seriesanalysis. The error model is compensated by the method of filtering. The random drift data of the gyroscope is processed bythe software Eviews. The recognition and order of the time series are processed, and the Kalman filtering method is finallycombined with the random error model. The experimental results show that the proposed method can reflect the random driftof the gyroscope and effectively suppress the random noise of the gyroscope and improve the output precision.