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机动卫星星座对多区域目标成像任务规划
引用本文:甘岚,龚胜平.机动卫星星座对多区域目标成像任务规划[J].宇航学报,2021,42(2):185-191.
作者姓名:甘岚  龚胜平
作者单位:清华大学航天航空学院,北京 100084
基金项目:国家自然科学基金(11772167,11822205)
摘    要:针对太阳同步圆轨道卫星星座对地观测任务,研究了在卫星机动情况下对多区域目标的成像任务规划算法。首先提出了单颗卫星对单个点目标的观测方法,解析分析了点目标可见性,并给出了卫星变轨策略;进而通过把区域目标划分为多个条带,将问题转化为卫星对点目标观测问题,结合单星单目标观测方法分析区域目标各条带的可见性;最后建立优化问题模型,给出条带观测策略,并利用遗传算法优化星座对多区域目标的观测总面积。仿真结果表明该算法准确性高,能够有效提高星座的观测能力和观测总面积。

关 键 词:对地观测卫星  卫星星座  区域目标  轨道机动  任务规划  
收稿时间:2019-12-25

Observation Mission Planning for Maneuverable Satellite ConstellationTowards Multiple Area Targets
GAN Lan,GONG Sheng ping.Observation Mission Planning for Maneuverable Satellite ConstellationTowards Multiple Area Targets[J].Journal of Astronautics,2021,42(2):185-191.
Authors:GAN Lan  GONG Sheng ping
Affiliation:School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
Abstract:Aiming at Earth observation mission of maneuverable satellite constellation moving in sun synchronous circular orbits, a mission planning algorithm towards multiple area targets is proposed in this paper. Firstly, an observation method of a single satellite towards a single point target is presented, along with which the visibility is analyzed and the satellite maneuver strategies are given. Then, by dividing the area targets into several stripes, the area observation problem is reduced to point observation ones, hence the visibility analysis of single point target is available. Finally, after building an optimization model and presenting a stripe observation strategy, the genetic algorithm is utilized to maximize the sum of the observation area of the satellite constellation towards the multiple area targets. The simulation results show that the algorithm is of high accuracy, and thus improves the observation ability and the sum of the observation area.
Keywords:Earth observing satellites  Satellite constellation    Area targets  Orbital maneuver  Mission planning  
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