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Accurate Compensation of Attitude Angle Error in a Dual-Axis Rotation Inertial Navigation System

机译:双轴旋转惯性导航系统中姿态角误差的准确补偿

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摘要

In the dual-axis rotation inertial navigation system (INS), besides the gyro error, accelerometer error, rolling misalignment angle error, and the gimbal angle error, the shaft swing angle and the axis non-orthogonal angle also affect the attitude accuracy. Through the analysis of the structure, we can see that the shaft swing angle and axis non-orthogonal angle will produce coning errors which cause the fluctuation of the attitude. According to the analysis of the rotation vector, it can be seen that the coning error will generate additional drift velocity along the rotating shaft, which can reduce the navigation precision of the system. In this paper, based on the establishment of the modulation average frame, the vector projection is carried out, and then the attitude conversion matrix and the attitude error matrix mainly including the shaft swing angle and axis non-orthogonal are obtained. Because the attitude angles are given under the static condition, the shaft swing angle and the axis non-orthogonal angle are estimated by the static Kalman filter (KF). This kind of KF method has been widely recognized as the standard optimal estimation tool for estimating the parameters such as coning angles (α1 , α2), initial phase angles (ϕ1,ϕ2), and the non-perpendicular angle (η). In order to carry out the system level verification, a dual axis rotation INS is designed. Through simulation and experiments, the results show that the amplitudes of the attitude angles’ variation are reduced by about 20%–30% when the shaft rotates. The attitude error equation is reasonably simplified and the calibration method is accurate enough. The attitude accuracy is further improved.
机译:在双轴旋转惯性导航系统(INS)中,除了陀螺仪误差,加速度计误差,滚动失准角误差和万向节角误差外,轴摆动角和轴非正交角也会影响姿态精度。通过结构分析,可以看出轴摆动角和轴非正交角会产生圆锥误差,从而引起姿态波动。通过对旋转矢量的分析,可以看出锥面误差将沿旋转轴产生额外的漂移速度,这会降低系统的导航精度。本文在建立调制平均帧的基础上,进行了矢量投影,得到了姿态转换矩阵和姿态误差矩阵,主要包括轴摆动角和轴非正交。由于姿态角是在静态条件下给出的,因此轴摆动角和轴非正交角是通过静态卡尔曼滤波器(KF)估算的。这种KF方法已被广泛认为是用于估计诸如锥角(α1,α2),初始相位角(ϕ1,ϕ2)和非垂直角(η)等参数的标准最佳估计工具。为了进行系统级验证,设计了双轴旋转INS。通过仿真和实验,结果表明,轴旋转时,姿态角变化幅度减小了20%–30%。合理地简化了姿态误差方程式,并且校准方法足够准确。姿态精度进一步提高。

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