Development of a scheduling algorithm and GUI for autonomous satellite missions |
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Authors: | Seung-woo Baek Sun-mi Han Kyeum-rae Cho Dae-woo Lee Jang-sik Yang Peter M Bainum Hae-dong Kim |
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Institution: | 1. College of System Engineering, National University of Defense Technology, Changsha, 410073, China;2. KU Leuven Mobility Research Center - CIB, Leuven, 3001, Belgium;3. VU Amsterdam, School of Business and Economics, 1081 HV Amsterdam, the Netherlands;4. EDHEC Business School, 24 Avenue Gustave Delory, 59057 Roubaix, France;5. School of Information Systems, Singapore Management University, 178902 Singapore;1. School of Astronautics, Beihang University, Beijing 100191, PR China;2. School of Electronic and Information Engineering, Beihang University, Beijing 100191, PR China |
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Abstract: | In this paper, a scheduling optimization algorithm is developed and verified for autonomous satellite mission operations. As satellite control and operational techniques continue to develop, satellite missions become more complicated and the overall quantity of tasks within the missions also increases. These changes require more specific consideration and a huge amount of computational resources, for scheduling the satellite missions. In addition, there is a certain level of repetition in satellite mission scheduling activities, and hence it is highly recommended that the operation manager carefully considers and builds some appropriate strategy for performing the operations autonomously. A good strategy to adopt is to develop scheduling optimization algorithms, because it is difficult for humans to consider the many mission parameters and constraints simultaneously. In this paper, a new genetic algorithm is applied to simulations of an actual satellite mission scheduling problem, and an appropriate GUI design is considered for an autonomous satellite mission operation. It is expected that the scheduling optimization algorithm and the GUI can improve the overall efficiency in practical satellite mission operations. |
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