Mission Planning and Action Planning for Agile Earth-Observing Satellite with Genetic Algorithm  

作　　者：Kai Sun Zheng-Yu Yang Pei Wang Ying-Wu Chen 

机构地区：[1]College of Information Systems and Management,National University of Defense Technology

出　　处：《Journal of Harbin Institute of Technology(New Series)》2013年第5期51-56,共6页哈尔滨工业大学学报（英文版）

基　　金：Sponsored by the National Natural Science Foundation of China(Grant No.70601035 and 70801062)

摘　　要：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.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.

关 键 词：SCHEDULING mission planning action planning agile Earth-observing satellite genetic algorithm 

分 类 号：S7[农业科学—林学]