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混合的方法来优化群集飞行轨道为基于PSO-SQP算法的分馏航天器

Hybrid Approach to Optimize the Cluster Flying Orbit for Fractionated Spacecraft Based on PSO-SQP Algorithm
作者:Shenghui WanJunling SongJian ChenMin Hu 加工时间:2014-09-03 信息来源:科技报告(Other) 索取原文[6 页]
关键词:分次飞船;集群飞行轨道;相对轨道要素;粒子群优化;序列二次规划
摘 要:This template This paper investigates the optimal cluster flight orbit design issue for the fractionated spacecraft according to three main goals:keeping the cluster as stable as possible,preventing the collisions within the cluster,maintaining the inter-satellite distance within the maximum region.Firstly,the relative orbital elements are adopted to describe the relative motion.Then,the formation design requirements are formulated in terms of the relative orbital elements,the constrained optimization problem is solved using the hybrid particle swarm optimization algorithm integrated with sequential quadratic programming local search.The simulation results show that the hybrid PSO-SQP algorithm is effective.
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