面向天文观测的空间科学卫星任务规划方法研究

Research on the Planning Method for Astronomy Observation Mission

面向天文观测的空间科学卫星任务规划是一个复杂的多目标优化问题.通过对天文观测类卫星的任务规划要素及约束条件进行抽象,建立了面向天文观测的多目标任务规划问题模型,在此基础上设计了基于NSGA-II的多目标观测任务规划算法,并通过实例进行了实验及结果分析.研究表明,该方法能够有效解决天文观测类卫星不同规模的任务规划问题.

Space science satellite＇s astronomy observation mission planning is a complex multi- objective optimization problem. A multi-objective model is proposed based on abstraction of the mission planning elements and the constraints. Three scheduling criteria are considered, including minimizing important tasks unscheduled time, resource cost and scan tasks unscheduled time. Furthermore, Multi-objective Observation Mission Planning Algorithm （MOMPA） is put forward using the proposed model. The MOMPA solves conventional observation mission planning problem us- ing the iteration constrained adjustment in population evolutionary methods. In order to validate MOMPA＇s performance, the mission planning test cases are designed. The short-term test case has 12 tasks with one week＇s observation period and the long-term test case has 36 tasks with three months＇ observation period. These experiments are conducted and analyzed, and results showed that MOMPA is applicable to astronomy observation planning in various scales.