二维划分反馈控制的星模拟器光源光谱匹配精度提升方法

Star simulator light source spectral matching accuracy improvement method by two-dimensional partition feedback control

为提高星模拟器光源系统光谱匹配精度,首先设计并搭建了基于数字微镜的星模拟器光源系统;其次,根据按波长标定的区域光谱进行遗传算法的光谱拟合,结果表明该方案拟合光谱与目标光谱存在一定匹配误差;最后,为提高光谱匹配的精度,提出了按波长和能量二维划分区域的误差反馈及精度提升方法。实验模拟了色温为2 550、4 766、6 576、8 910 K光源,结果表明相较于波长方向一维划分的反馈方法,光谱匹配最大误差分别下降了55.7%、50.6%、45.2%、42.2%,极大地提升了星模拟器光源系统的光谱匹配精度。该研究旨在补偿该类色温匹配误差所引入的星敏感器角检测误差,达到高精度星敏感器的定标精度要求。

To improve the spectral matching accuracy of the star simulator light source system, firstly, a star simulator light source system based on digital micromirror is designed and built. Secondly, the spectral fitting of the genetic algorithm is performed according to the regional spectrum calibrated by wavelength, The results show that the scheme exits a certain matching error between the fitted spectrum and the target spectrum. Finally, in order to improve the accuracy of spectral matching, an error feedback and accuracy improvement method is proposed to divide the region into two-dimensional wavelength and energy. The experiment simulates light sources with color temperatures of 2 550 K, 4 766 K, 6 576 K, and 8 910 K. The results show that, compared with the feedback method of one-dimensional division in the wavelength direction, the maximum error of spectral matching decreases by 55.7%, 50.6%, 45.2%, and 42.2%, respectively, which significantly improves the spectral matching accuracy of the star simulator light source system. The study aims to compensate for the angle measurement error caused by the spectral match error, which improves the star sensor’s calibration accuracy.