Improved algorithms to plan missions for agile earth observation satellites  

作　　者：Huicheng Hao Wei Jiang Yijun Li 

机构地区：[1]Research Center of Information Management and Information Systems,Harbin Institute of Technology [2]School of Engineering, Northeast Agricultural University

出　　处：《Journal of Systems Engineering and Electronics》2014年第5期811-821,共11页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(71271066;71171065;71202168);the Natural Science Foundation of Heilongjiang Province(GC13D506)

摘　　要：This study concentrates of the new generation of the agile （AEOS）. AEOS is a key study object on management problems earth observation satellite in many countries because of its many advantages over non-agile satellites. Hence, the mission planning and scheduling of AEOS is a popular research problem. This research investigates AEOS characteristics and establishes a mission planning model based on the working principle and constraints of AEOS as per analysis. To solve the scheduling issue of AEOS, several improved algorithms are developed. Simulation results suggest that these algorithms are effective.This study concentrates of the new generation of the agile （AEOS）. AEOS is a key study object on management problems earth observation satellite in many countries because of its many advantages over non-agile satellites. Hence, the mission planning and scheduling of AEOS is a popular research problem. This research investigates AEOS characteristics and establishes a mission planning model based on the working principle and constraints of AEOS as per analysis. To solve the scheduling issue of AEOS, several improved algorithms are developed. Simulation results suggest that these algorithms are effective.

关 键 词：mission planning immune clone algorithm hybrid genetic algorithm （EA） improved ant colony algorithm general particle swarm optimization （PSO） agile earth observation satellite （AEOS）. 

分 类 号：V474.2[航空宇航科学与技术—飞行器设计]