一种基于恒星分布的星敏感器导航星库制作方法 |
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作者姓名: | 叶志龙 孙朔冬 陈纾 吴迪 武斌 |
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作者单位: | 上海航天控制技术研究所, 上海 201109;上海市空间智能控制技术重点实验室, 上海 201109,上海航天控制技术研究所, 上海 201109;上海市空间智能控制技术重点实验室, 上海 201109,上海航天控制技术研究所, 上海 201109;上海市空间智能控制技术重点实验室, 上海 201109,上海航天控制技术研究所, 上海 201109;上海市空间智能控制技术重点实验室, 上海 201109,上海航天控制技术研究所, 上海 201109;上海市空间智能控制技术重点实验室, 上海 201109 |
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摘 要: | 为了进一步提升星敏感器的定姿精度,分析了恒星的空间几何分布对姿态精度的影响,提出了一种基于恒星分布的星敏感器导航星库制作方法。在分析对比了现有星库的基础上,选择了精度较高的依巴谷星库作为基础星库,并剔除了暗星和双星以精简星库。遍历全天球对每个视场的星库中的空间几何分布进行分析对比,删除定姿较差的3颗星。对星库进行遍历补偿,保证了星库中恒星分布的均匀性。实验结果表明,全天球轨道测试中,本文方法制作星库的全天识别率为100%,且星颗分布数10颗以上天区占到97.64%,具有良好的覆盖性,同时有效提升了姿态精度。
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关 键 词: | 导航星库 恒星分布 姿态精度 星敏感器 |
收稿时间: | 2017/5/11 0:00:00 |
修稿时间: | 2017/6/20 0:00:00 |
Establishment of a Navigation Star Database Based on Star Distribution |
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Authors: | YE Zhilong SUN Shuodong CHEN Shu WU Di and WU Bin |
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Institution: | Shanghai Institute of Spaceflight Control Technology, Shanghai 201109, China;Shanghai Key Laboratory of Aerospace Intelligent Control Technology, Shanghai 201109, China,Shanghai Institute of Spaceflight Control Technology, Shanghai 201109, China;Shanghai Key Laboratory of Aerospace Intelligent Control Technology, Shanghai 201109, China,Shanghai Institute of Spaceflight Control Technology, Shanghai 201109, China;Shanghai Key Laboratory of Aerospace Intelligent Control Technology, Shanghai 201109, China,Shanghai Institute of Spaceflight Control Technology, Shanghai 201109, China;Shanghai Key Laboratory of Aerospace Intelligent Control Technology, Shanghai 201109, China and Shanghai Institute of Spaceflight Control Technology, Shanghai 201109, China;Shanghai Key Laboratory of Aerospace Intelligent Control Technology, Shanghai 201109, China |
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Abstract: | In order to further improve attitude precision of star sensors, the influence of star spatial geometric distribution to attitude precision is analyzed and a method of establishing a navigation star database based on star distribution is proposed. On the basis of analyzing the current star database, Hipparcos is selected as the basic star database, while, dark-star and double-star are deleted in the star database, and then star spatial geometric distribution in every FOV (Field of View) is analyzed and compared while traversing all-sky, three stars which determine the worst attitude precision are deleted. Finally, Traversing compensationof star database is executed to ensure the uniformity of star distribution. The experimental results show that all-sky recognition rate is 100% by using the star database made by the proposed method in all celestial orbit tests, and the areas with more than 10 stars distribution r account for 97.64%. The porposed method is of good coverage, and can effectively improve the attitude accuracy. |
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Keywords: | navigation star table star distribution attitude precision star sensor |
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