DocumentCode
507881
Title
Relative Navigation Algorithm Based on Rodrigues and Spacecraft Orbit & Attitude Information
Author
Li, Kezhao ; Zhang, Qin ; Zhao, Chaoyin ; Yuan, Jianping ; Xu, Keke
Author_Institution
Henan Polytech. Univ., Jiaozuo, China
Volume
5
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
73
Lastpage
77
Abstract
It is vital to calculate the relative position and pose in many important space missions, such as space formation, rendezvous and docking, space capturing and maintenance etc. It is a direction to get the relative position and pose based on computer vision currently all over the world. And this method is also valid for spacecrafts. In this paper, on the basis of the attitude dynamics of spacecrafts and the theory of computer vision, a relative navigation algorithm based-on Rodrigues and the orbit & attitude information of the spacecrafts is proposed. This algorithm reduces the Jacobian matrix rank. Thus, its calculation speed is faster than the quaternion method. Additionally, the iterative numbers of this algorithm are reduced when the orbit & attitude information of the spacecrafts has been used. So the calculation efficiency of this algorithm is improved. Lastly, some simulation results are given to validate the above theoretical conclusions.
Keywords
aerospace computing; attitude control; computer vision; navigation; space vehicles; Jacobian matrix rank; Rodrigues; attitude information; computer vision; docking; relative navigation algorithm; space capturing; space formation; space missions; spacecraft orbit; Cameras; Computer vision; Equations; Iterative algorithms; Navigation; Optical imaging; Orbital calculations; Sensor systems; Space missions; Space vehicles; Rodrigues; computer vision; relative navigation; relative position and pose; spacecraft orbit & attitude information;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.203
Filename
5363719
Link To Document