期刊文献+

星图分布对星敏感器最小二乘姿态精度的影响 被引量:2

Impact analysis of star distribution on least square attitude measuring precision in star sensor
在线阅读 下载PDF
导出
摘要 星敏感器的姿态确定是其导航最基本、最关键的环节。为了分析星图分布对最小二乘姿态测量精度的影响,描述了星敏感器的姿态角定义,研究了最小二乘法求解星敏感器姿态的过程,并从数学角度推导了存在一定观测误差的情况下,最小二乘方法产生较差姿态测量精度的部分主要原因,即系数矩阵的条件数变化。最后以星图模拟的方式在不同条件下模拟了三组典型的星图分布,对其进行姿态测量和结果统计。统计结果表明:姿态测量精度除了受条件数描述的导航星间相对位置的影响外,还与导航星组在星图中的不同位置以及不同的星敏感器参数模型有关。 As the highest measurement precision attitude sensor, attitude determination is the most basic and critical section in navigation. To analyze the impact of star distribution on least square attitude measuring precision, the definition of the attitude angle was described, the problem-solving process by least square method was researched, and the condition number of the coefficient matrix, that leads to poor precision under a certain observational error, was derived from the view of mathematical. Lastly, three sets of typical star distribution under different conditions were simulated, calculate the results and conduct the statistics, the simulation results indicate that measurement precision is influenced by different locations of the star group in image and different device parameter models for star sensor, besides the relative position of the star group described by condition number.
出处 《红外与激光工程》 EI CSCD 北大核心 2014年第6期1836-1841,共6页 Infrared and Laser Engineering
基金 中国科学院知识创新工程领域前沿项目
关键词 星图分布 星敏感器 最小二乘 姿态测量精度 star distribution star sensor least square attitude measuring precision
  • 相关文献

参考文献2

二级参考文献13

共引文献45

同被引文献33

  • 1Fitzgerald D, Walker R, Campbell D. A vision based forced landing site selection system for an autonomous UAV [C]// Proc. of the IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2005 : 397 - 402.
  • 2Yang S, Seherer S A, Zell A. An onboard monocular vision sys- tem for autonomous takeoff, hovering and landing of a micro aerial vehicle [J]. Journal of Intelligent & Robotic Systems, 2013, 69(1): 499-515.
  • 3Seherer S, Chamberlain L, Singh S. Autonomous landing at un- prepared sites by a full-scale helicopter[J]. Robotics and Autono- mous Systems, 2012, 60(12) : 1545 - 1562.
  • 4Takahashi M D, Abershitz A, Rubinets R, et al. Evaluation of safe landing area determination algorithms for autonomous ro- torcraft using site benchmarking[J]. Journal of the American Helicopter Society, 2013, 58(3) : 1 - 13.
  • 5Shen Y F, Rahman Z, Krusienski D, et al. A vision-based auto- matic safe landing-site detection system[J]. IEEE Trans. on Aerospace and Electronic Systems, 2013, 49 (1) : 294 - 311.
  • 6Coombes M, Chen W H, Render P. Reachability analysis of landing sites for forced landing of a UAS[J]. Journal of Intelli- gent & Robotic Systems, 2014, 73(1/4) : 635 - 653.
  • 7Mejias L, Eng P. Controlled emergency landing of an unpowered unmanned aerial system[J]. Journal of Intelligent & Robotic Systems, 2013, 70(1/4) : 421 - 435.
  • 8Gholami M R, Gezici S, Strom E G. Improved position estimation using hybrid TW-TOA and TDOA in cooperative networks[J]. IEEE Trans. on Signal Processing, 2012, 60(7) : 3770 - 3785.
  • 9Zhang H, Jiang Z, Elgammal A. Vision-based pose estimation for cooperative space objects[J]. Acta Astronautica, 2013,91 (10) : 115 - 122.
  • 10Theodore C T, Tischler M B. Precision autonomous landing adap- tive control experiment (PALACE), ADM002075[R]. California: National Aeronautics and Space Administration Ames Research Center Moffett Field, 2006.

引证文献2

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部