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星敏感器技术研究现状及发展趋势

Research status and development tendency of star tracker technique

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摘要

本文综述了星敏感器技术的研究现状和未来发展趋势。首先, 总结了国内外星载星敏感器的发展历程。接着, 根据星敏感器工作原理, 分析讨论了星点质心定位算法、星图识别算法和姿态解算算法等星敏感器关键技术的发展现状。通过讨论星点质心定位精度对星敏感器测量精度影响, 分析了星点质心定位算法以及对应误差补偿的研究现状; 基于星座特征、字符模式和智能行为, 介绍了星图识别算法并进行了对比分析; 根据确定姿态解算算法和动态姿态解算算法分析了姿态解算算法的研究现状。最后, 对星敏感器的未来发展进行了展望, 讨论了航空机载星敏感器、微小型星敏感器和甚高精度星敏感器的发展趋势以及未来重点研究内容。

Abstract

In this paper, the research status and development tendency of star tracker technique are reviewed. Firstly, the development process of star tracker at home and abroad is summarized. Then, key techniques such as star centroid algorithm, star recognition algorithm and attitude determination algorithm are summarized respectively based on the working principle of star tracker. Based on the influence of star centroid localization precision on measurement precision of star tracker, the research status of star centroid localization algorithm and the corresponding error compensation are discussed. According to the constellation characteristics, character models and intelligent behavior, the star map recognition algorithm is introduced and the comparative analysis is developed. According to the determined attitude determination algorithm and dynamic attitude determination algorithm, the research status of attitude determination algorithm is discussed. Finally, the future development of star tracker is prospected, and the development trend and key research contents in the future of airborne star tracker, micro star tracker and super high precision star tracker are discussed.

Newport宣传-MKS新实验室计划
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中图分类号:V448.222

DOI:10.3788/co.20160901.0016

基金项目:国家高技术研究发展计划(863计划)资助项目(No.2014AA7096015); 航空基金资助项目(No.20125858003)

收稿日期:2015-09-07

修改稿日期:2015-09-29

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作者单位    点击查看

梁 斌:清华大学 自动化系, 北京 100084
朱海龙:清华大学 自动化系, 北京 100084
张 涛:清华大学 自动化系, 北京 100084
仝玉婵:中国运载火箭技术研究院 物流中心, 北京 100076

联系人作者:梁 斌(bliang@tsinghua.edu.cn)

备注:梁 斌(1968—), 男, 江西景德镇人, 教授, 博士生导师, 1989年、1991年于西北工业大学分别获得学士、硕士学位, 1994年于清华大学获得博士学位, 主要从事微小卫星技术、导航制导与控制、机器人运动控制等方面的研究。

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