卫星与浮空器协同侦察任务规划方法

针对卫星和浮空器协同对地侦察任务规划问题，提出了一种分阶段任务规划方法，将卫星与浮空器协同任务规划分为任务聚类、任务组分配和任务排程3个相继的阶段。使用层次聚类算法进行任务聚类，通过聚类形成多个任务组；给出了任务组分配的规划模型，将任务组与平台资源进行匹配；建立了任务排程的混合整数规划模型，并使用粒子群算法进行求解，将任务最终分配到相应的平台上。仿真结果表明，所提出的方法可行且有效。

Method of satellite and aerostat cooperative reconnaissance mission planning

A staged task planning method is put forward to solve the task planning problem of satellite and aerostat cooperative reconnaissance. The satellite and aerostat cooperative task planning is divided into three stages that are task clustering, task groups allocation and task scheduling. Firstly, a hierarchical clustering algorithm is used in task clustering by which several task groups would be produced. Secondly, the planning model of task group allocation which aims to build connections between task groups and resources is introduced. At last, a mixed integer planning model used in task scheduling is modeled and a corresponding particle optimize algorithm is introduced. By task scheduling, all tasks would be finally allocated to the specific platforms. The simulation results show that the proposed method is feasible and efficient.