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星敏感器标定是基于更高精度的测量基准对光学系统内方位元素进行建模与最优化解算的过程。针对大视场星敏感器光学系统误差分布非理想轴对称的实际情况,提出了一种采用视场网状分区域建模的内方位元素最优化解算方法。首先,在补偿了星敏感器与标定系统初始对准误差后,基于针孔模型计算主点和焦距;然后,在视场分区域建模思想的指导下,采用多项式拟合结合双线性插值的方法修正畸变;最后,提出了基于测角误差的标定精度评价准则。经实验室标定与外场观星验证,x轴与y轴标定残差较全局建模法分别降低了35%和20%,证明了该方法的有效性。
Star sensor calibration is based on a more accurate measurement of the optical system within the azimuth element modeling and optimization process. Aiming at the fact that the error distribution of the large-field star sensor’s optical system is not ideal axisymmetric, this paper proposes a method of inner-azimuth element optimization using field subdivision modeling. First, after compensating for the initial alignment error between the star sensor and the calibration system, the principal point and the focal length are calculated based on the pinhole model. Then, under the guidance of sub-region modeling theory, polynomial fitting and bilinear interpolation Method to correct the distortion. Finally, the criterion of calibration accuracy based on the angle error is proposed. After laboratory calibration and field stargazing verification, the residuals of x-axis and y-axis calibration are reduced by 35% and 20% respectively compared with the global modeling method, which proves the effectiveness of the method.