面向敏捷卫星任务规划的云层建模及处理方法  

Cloud modeling and processing method for agile observing satellite mission planning

作　　者：何磊[1] 刘晓路[1] 陈英武[1] 邢立宁[1] 

机构地区：[1]国防科学技术大学信息系统与管理学院,湖南长沙410073

出　　处：《系统工程与电子技术》2016年第4期852-858,共7页Systems Engineering and Electronics

基　　金：国家自然科学基金(71331008);高等学校全国优秀博士学位论文作者专项基金(201492)资助课题

摘　　要：针对云层遮挡影响光学卫星成像质量的问题,以新一代敏捷卫星任务规划问题为背景,对云层信息进行建模,提出了一种云层遮挡时间窗口计算方法,通过引入预判和二分法推进计算环节来提高遮挡窗口的求解效率。根据任务约束条件建立了考虑云层信息的敏捷卫星任务规划模型,并利用蚁群算法进行寻优计算。具体设计了状态转移规则、任务安排规则和信息素更新规则。通过10个不同规模的情景案例进行仿真对比分析,仿真结果验证了云层模型和提出的处理方法在敏捷卫星任务规划问题上的有效性。Based on the problem that the cloud cover has an influence on the optical satellite imaging quality and mission planning of the new generation of agile observing satellites,the cloud information is modeled and a method of calculating the cloud-obscuring time window is proposed.By the process of pre-judge and dichotomy,the efficiency of calculating the cloud-obscuring time window is enhanced.The agile satellite mission planning model with the consideration of cloud information is established.An algorithm based on the ant colony algorithm is proposed to solve the problem.The specific design includes the state transition rules,the mission scheduling rules and the pheromone updating rules.The comparison results of 10 experiments of different scales illustrate the effectiveness of the model and the processing method in terms of the agile satellite mission planning problem.

关 键 词：任务规划 蚁群算法 敏捷光学卫星 云层信息 云层遮挡时间窗口 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]