面向卫星常规测控任务的地面站资源调度

Ground Station Resource Scheduling for Satellite Routine TT&C

卫星测控任务的地面站资源调度问题是在特定的时间和约束条件下,根据卫星的常规任务要求,为卫星分配相应的地面站资源,从而得到能够满足卫星任务要求的资源分配和调度方案。基于实际应用,分析卫星测控任务的调度问题,考虑资源调度过程中涉及的卫星时间约束和资源约束,建立卫星测控任务中地面站资源调度的数学模型。设计2个阶段遗传算法,第一阶段选择卫星执行任务的圈数,第二阶段选择任务弧段,逐步减小搜索的解空间。仿真研究结果表明,2个阶段遗传算法能够较好地解决多卫星多约束的测控资源调度问题。

The problem of ground station resource scheduling for satellite TT&C(telemetry,tracking and command)mission is to allocate the corresponding earth station resources for satellite in the specific time and constraint conditions according to the conventional mission requirements of satellite,so as to obtain the resource allocation and scheduling scheme that can meet the requirements of satellite mission.With the development of space technology,the increase of the number of satellites and the increase of customer demand,it is becoming more and more important to solve the resource scheduling problem of ground stations for large-scale satellite TT&C missions within the effective time.Based on the practical application,we analyze the scheduling problem of satellite TT&C mission,and consider the satellite time constraints and resource constraints involved in resource scheduling process.The constraint conditions of the problem are expressed in mathematical language,the mathematical model of earth station resource scheduling in satellite measurement and control mission is established,and the two-stage genetic algorithm is designed.The solution space of search is gradually reduced by selecting the turn number of satellite mission in the first stage and the visible window of the mission in the second stage,which realizes the application of genetic algorithm in satellite resource scheduling.Finally,a series of experiments are designed and the experimental results are evaluated.It is found that the two-stage genetic algorithm can better solve the multi-satellite and multi-constraint measurement and control resource scheduling.