近似非线性滤波在陀螺漂移误差模型辨识中的应用

The application of an approximate nonlinear filtering in the identification of gyro drift error model

提出了应用近似非线性滤波技术，辨识陀螺漂移误差模型的方法。这一方法可以由伺服法测试数据中分离出陀螺漂移误差曲线，并通过粗精两种估计，能精确地辨识出陀螺误差模型。对静电陀螺仪实验数据分析结果表明，文中提出的方法完全能满足高精度陀螺仪漂移误差模型的建模要求。

This paper presents the application of an approximate nonlinear filter in the identification of gyro drift error model. This approch can separate the gyro drift error curves from the data of servo turntable test, and accurately identify the gyro error model by means of both rough and precision estimations. The results from experimental data analysis of electrical suspended gyro show that the methods developed in this paper can fully satisfy the drift error modelling requirements of high quality gyros.