基于扰动比力的壳体翻滚失准角辨识

Identification of misalignment angles of a gyro case rotational axis based on disturbed specific forces

为在动基座条件下辨识安装在空间稳定平台上的陀螺仪壳体翻滚失准角,建立了基于扰动比力矢量的壳体翻滚失准角模型,设计了辨识模型系数的静态Kalman滤波器。试验结果表明:该方法在静止水平基座和摇摆基座条件下,壳体翻滚失准角模型辨识精度相同,经模型补偿后的姿态角与壳体翻滚失准角模型最小二乘辨识方法得到的结果相比,差值不超过1.54″,远优于姿态角测量精度的要求。

A misalignment model based on the disturbed specific forces was developed to identify misalignment angles of the case rotating axis of gyros installed on space-stable platforms with swaying.A static Kalman filter was designed to identify the model coefficients.Experimentals show that the identified parameters are accurate regardless of whether the system is on a static horizontal base or is swaying.The difference between the attitudes after model compensation and the least squares method identification of the error angle of the case rotational axis is less than 1.54″,far better than the attitude accuracy requirement.