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Method of the mission planning for the communication between the small satellite clusters

机译:小型卫星群之间通信的任务计划方法

摘要

#$%^&*AU2020100051A420200213.pdf#####ABSTRACT: Mission planning of space astronomical satellite is a complex optimization problem, which is to determine the communication activities needed by space astronomical and research the in-orbit plan. By abstracting the relevant elements of the mission planning problems of space astronomical satellite and establishing the mathematical model of mission planning of the space astronomical satellite, we introduce the Genetic Algorithm and design the single-objective Genetic Algorithm based on the communication mission window. In addition, based on the Genetic Algorithm, a multi-objective Genetic Algorithm based on the sequence of communication window is designed, which improves the coding ability of Genetic Algorithm and improves the flexibility and applicability of planning effect.Problem analysis Use new mathematical Problem assumptions modeling of multi-objective and simplification optimization Mathematical Increase the dimension of the modeling of simple objective function to get new objective mission model lanning Determine the Use communication objective function opportunity window sequence to encode Design fitness function set Determine encoding based on objective function method set Design new genetic Detennine fitness operators based on NSGA function [ j Design genetic Design the multi-objective operators genetic algorithm flow Design the genetic Run simulation and obtain algorithm flow optimal mission plan Run simulationand Execute data transmission obtainoptimal mission according to the mission plan plan Figure 1
机译:#$%^&* AU2020100051A420200213.pdf #####抽象:太空天文卫星的任务计划很复杂优化问题,即确定沟通活动太空天文需要和研究在轨计划。通过提取任务计划问题的相关要素空间天文卫星及其数学模型的建立太空天文卫星的任务计划,我们介绍遗传算法并设计单目标遗传算法基于通信任务窗口。此外,基于遗传算法,一种基于遗传算法的多目标遗传算法设计了通信窗口的顺序,从而改善了遗传算法的编码能力,提高了灵活性和规划效果的适用性。问题分析使用新的数学多目标问题假设建模和简化优化数学增加尺寸简单目标函数建模以获得新客观任务模型兰宁确定使用通讯目标函数机会窗口序列编码设计健身功能集根据目标函数确定编码方法集设计新基因基于NSGA的Detennine健身算子功能[j设计基因设计多目标算子遗传算法流程设计遗传运行模拟并获得算法流程最优任务计划运行模拟并执行数据传输根据任务计划获得最佳任务计划图1

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