Design of a Stellar Gyroscope for visual attitude propagation for small satellites

S. Rawashdeh, W. C. Danhauer, J. Lumpp
{"title":"Design of a Stellar Gyroscope for visual attitude propagation for small satellites","authors":"S. Rawashdeh, W. C. Danhauer, J. Lumpp","doi":"10.1109/AERO.2012.6187241","DOIUrl":null,"url":null,"abstract":"Attitude Determination is critical for many CubeSat class satellites. However, the mass, volume, and power constraints of the CubeSat form factor limit the options available to designers. In this work, we are developing a Stellar Gyroscope to generate spacecraft relative attitude estimates in three degrees of freedom without the drift associated with most solid state based gyroscope approaches. A Stellar Gyroscope is a star based attitude propagator that uses relative motion of stars in an imager's field of view. Algorithms to perform the star detection, correspondence, and attitude propagation are presented. The Random Sample Consensus (RANSAC) approach is applied to the correspondence problem to mitigate false-positive and false-negative star detections. This paper overviews the approach, describes the details of the solutions for the challenging aspects of the approach, evaluates experimental results, and offers component selection for a preliminary designs for a CubeSat system.","PeriodicalId":6421,"journal":{"name":"2012 IEEE Aerospace Conference","volume":"130 5","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Aerospace Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AERO.2012.6187241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

Attitude Determination is critical for many CubeSat class satellites. However, the mass, volume, and power constraints of the CubeSat form factor limit the options available to designers. In this work, we are developing a Stellar Gyroscope to generate spacecraft relative attitude estimates in three degrees of freedom without the drift associated with most solid state based gyroscope approaches. A Stellar Gyroscope is a star based attitude propagator that uses relative motion of stars in an imager's field of view. Algorithms to perform the star detection, correspondence, and attitude propagation are presented. The Random Sample Consensus (RANSAC) approach is applied to the correspondence problem to mitigate false-positive and false-negative star detections. This paper overviews the approach, describes the details of the solutions for the challenging aspects of the approach, evaluates experimental results, and offers component selection for a preliminary designs for a CubeSat system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于小卫星视觉姿态传播的恒星陀螺仪设计
姿态确定对许多立方体卫星来说是至关重要的。然而,CubeSat的质量、体积和功率限制了设计人员的选择。在这项工作中,我们正在开发一个恒星陀螺仪,以产生三个自由度的航天器相对姿态估计,而不存在与大多数固态陀螺仪方法相关的漂移。恒星陀螺仪是一种基于恒星的姿态传播器,它利用成像仪视场中恒星的相对运动。给出了星探测、通信和姿态传播的算法。将随机样本一致性(RANSAC)方法应用于对应问题,以减轻假阳性和假阴性的恒星检测。本文概述了该方法,描述了该方法中具有挑战性的方面的解决方案的细节,评估了实验结果,并为立方体卫星系统的初步设计提供了组件选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Low-cost telepresence at technical conferences Design of a Stellar Gyroscope for visual attitude propagation for small satellites A cooperative search algorithm for highly parallel implementation of RANSAC for model estimation on Tilera MIMD architecture Open source software framework for applications in aeronautics and space Robonaut 2 — Initial activities on-board the ISS
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1