应用遗传算法的空间望远镜巡天观测中期规划方法

Planning Method of Sky Survey Observation for Space Telescope Using Genetic Algorithm

面向空间望远镜巡天观测任务,分析巡天观测规划问题特点,建立巡天中期规划问题模型。针对巡天观测规划问题任务数量大、约束条件多的特点,建立空间望远镜在轨运行时受到的复杂约束条件模型,在此基础上设计应用遗传算法的规划方法,确定规划结果评估指标。通过改进的遗传算法进行观测序列的优化工作,并对复杂约束条件进行判断,对不符合约束条件的序列进行修复。最后,建立规划系统的功能结构,进行方法验证。结果表明:文章设计的规划方法能够完成巡天观测中期规划任务,提高望远镜的观测效率。

For space telescope sky survey observation missions,the characteristics of sky survey observation planning problems are analyzed,and a model of mid-term sky survey planning problem is established.In response to the large number of missions and multiple constraints in the sky survey planning problem,a complex constraint model is established for the telescope in orbit.On this basis,a planning method based on a genetic algorithm is designed,and the objective function is determined.The observation sequence is optimized through the improved genetic algorithm.The complex constraints are judged by the repair algorithm,and the sequences which do not meet the constraint conditions are repaired.Finally,the functional structure of the planning system is established,and the method verification is carried out.The results show that the observation planning method designed in this paper can complete the mid-term mission planning of sky survey observation and improve the observation efficiency of the telescope.