DocumentCode :
1889819
Title :
Multi-satellite control system architecture and mission scheduling optimization
Author :
Jung-Hyun, Lee ; Myung, Wang Se ; Chung, Daewon ; Hee, Ko Kwang ; Choi, Sujin ; Sung, Ahn Hyo ; Jung, Okchul
Author_Institution :
Gwangju Inst. Sci. & Technol. (GIST), Gwangju, South Korea
fYear :
2012
fDate :
3-10 March 2012
Firstpage :
1
Lastpage :
13
Abstract :
In this paper we propose an architecture for multi-satellite control systems and an optimization procedure for mission operations. The proposed multi-satellite control system architecture is obtained by structuring existing mission control systems into three organically connected components. : (1) the ground station responsible for the mechanical parts, (2) the users responsible for the overall management, and (3) the mission control element responsible for the overall scheduling and software operation. In addition, we present a mission scheduling optimization procedure involving numerous satellites and ground stations. The algorithm assumes the scheduling period time, the value and allocation time of the guidance parameter file for attitude control, and the mission value and image downlink allocation time. The visibility time between a ground station and satellites is calculated by simulation using the satellite tool kit. Hence, the scheduling problems can be treated as knapsack problems where the visibility time is analogous to the knapsack and the missions are considered to be the items. To solve the multi-mission scheduling problem, we applied the dynamic programming and greedy algorithms. We compared and analyzed the two algorithms.
Keywords :
aerospace control; artificial satellites; dynamic programming; attitude control; dynamic programming; ground station responsible; guidance parameter file; image downlink allocation time; mechanical parts; mission scheduling optimization; multisatellite control system architecture; Control systems; Optimal scheduling; Orbits; Satellites; Scheduling; Telemetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2012 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4577-0556-4
Type :
conf
DOI :
10.1109/AERO.2012.6187437
Filename :
6187437
Link To Document :
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