Mission Planning and Action Planning for Agile Earth-Observing Satellite with Genetic Algorithm
Kai Sun, Zheng-Yu Yang, Pei Wang, Ying-Wu Chen
(College of Information Systems and Management, National University of Defense Technology, Changsha 410073, China)
Abstract:
This paper concerns the mission scheduling problem for an agile Earth-observing satellite. Mission planning and action planning for the satellite are both taking into account. Multiple mission types (including multi-strip area, real time download request, and stereoscopic request) and complex satellite actions, such as observe action and data download action, are considered in this paper. Through reasonable analysis of specialties and operational constraints of agile satellites in observing process, the mission scheduling model under multiple objective conditions is constructed. A genetic algorithm combined with heuristic rules is designed to solve problem. Genetic algorithm is designed to arrange user missions and heuristic rules are used to arrange satellite actions. Experiment results suggest that our algorithm works well for the agile Earth-observing satellite scheduling problem.
Key words: scheduling mission planning action planning agile Earth-observing satellite genetic algorithm
DOI：10.11916/j.issn.1005-9113.2013.05.010
Clc Number:S7
Fund:
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Mission Planning and Action Planning for Agile Earth-Observing Satellite with Genetic Algorithm
本站小编 哈尔滨工业大学/2019-10-24
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