Abstract
Design of agile satellite constellation is crucial in various Earth observation missions. The access-constrained coverage analysis to evaluate optimization objective is a critical problem of agile satellite constellation design, which needs taking attitude maneuver into consideration. This paper proposes a novel multi-objective optimization framework based on task simulation, and simulates the procedures of task arranging and attitude maneuvering of an agile satellite constellation for multi-target observation. Firstly, the sensor pointing capability and observation constraints of agile satellites are analyzed. The multi-objective optimization problem model is constructed with the fitness evaluation according to the constrained coverage and observation sequence calculated by the task simulation method, and solved with multi-objective optimization algorithm for better performance. Finally, the results of simulation verify the rationality of the model and validity of the proposed method.
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Acknowledgements
This work is supported in part by a grant from the Scientific Research Program of National University of Defense Technology (ZK18-03-34).
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Jiaxin, H., Leping, Y., Huan, H., Yanwei, Z. (2022). Optimal Design of Agile Satellite Constellation Base on Task Simulation for Multi-target Observation. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_125
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DOI: https://doi.org/10.1007/978-981-15-8155-7_125
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