中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling the Coupling Effect of Jitter and Attitude Control on TDICCD Camera Imaging

文献类型:会议论文

作者Li, Yulun; Yang, Zhen; Ma, Xiaoshan; Ni, Wei
出版日期2016
会议名称Conference on Image and Signal Processing for Remote Sensing XXII
会议日期SEP 26-28, 2016
会议地点Edinburgh, SCOTLAND
关键词jitter attitude control flywheel TDICCD camera synchronous feature
通讯作者Li, YL (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Elect & Informat Technol Complex Aerosp S, Beijing 100190, Peoples R China.
英文摘要The vibration has an important influence on space-borne TDICCD imaging quality. It is generally aroused by an interaction between satellite jitter and attitude control. Previous modeling for this coupling relation is mainly concentrating on accurate modal analysis, transfer path and damping design, etc. Nevertheless, when controlling attitude, the coupling terms among three body axes are usually ignored. This is what we try to study in this manuscript. Firstly, a simplified formulation dedicated to this problem is established. Secondly, we use Dymola 2016 to execute the simulation model profiting Modelica synchronous feature, which has been proposed in recent years. The results demonstrate that the studied effect can introduce additional oscillatory modes and lead the attitude stabilization process slower. In addition, when fully stabilized, there seems time-statistically no difference but it still intensifies the motion-blur by a tiny amount. We state that this effect might be worth considering in image restoration.
收录类别CPCI
会议录IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXII
语种英语
ISSN号0277-786X
ISBN号978-1-5106-0412-4; 978-1-5106-0413-1
源URL[http://ir.nssc.ac.cn/handle/122/5797]  
专题国家空间科学中心_空间技术部
推荐引用方式
GB/T 7714
Li, Yulun,Yang, Zhen,Ma, Xiaoshan,et al. Modeling the Coupling Effect of Jitter and Attitude Control on TDICCD Camera Imaging[C]. 见:Conference on Image and Signal Processing for Remote Sensing XXII. Edinburgh, SCOTLAND. SEP 26-28, 2016.

入库方式: OAI收割

来源:国家空间科学中心

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