卫星巡天扫描运控模式方法的研究

巡天扫描是天文卫星进行天体观测的基础，但是使用传统方法很难实现全天球覆盖，并且会遇到能源输出瓶颈。因此，针对天文卫星巡天扫描所遇到的问题，提出了使用Pareto遗传算法对卫星飞行任务进行智能规划的方法。该算法引入小生境方法来保证群体多样性，并使用基于排序的适应度分配方法来克服早熟收敛。该算法智能规划飞行任务，与仅依靠被动的分段式扫描方法相比，在扫描全天球的基础上，很好解决了能源输出的问题，还大大缩短了巡天扫描的时间。从仿真结果来看，该模型是十分有效的。

An Intelligentized Controlling Method for Scanning the Celestial Sphere

Scanning the celestial sphere provided a base to satellites' celestial bodies observation.But there were two problems which were difficult to solve: one was how to scan the whole celestial sphere;the other was that power output was not enough sometimes.An intelligentized controlling method using Pareto genetic algorithm was brought forward which could scheme the satellite's flight mission.This method used niching method and other improved method to ensure the group's variety and decrease choosing pressure.Compared with the passive zoning method,this model had two advantages: the power outputting was increased though scheming the satellite's flight mission and the time of scanning the celestial sphere was decreased.Simulated experiment shows that this model is efficient.