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Hybrid Approach to Optimize the Cluster Flying Orbit for Fractionated Spacecraft Based on PSO-SQP Algorithm

机译:基于PSO-SQP算法的分块航天器群飞轨道混合优化方法

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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.
机译:本文根据三个主要目标研究了分馏航天器的最优星团飞行轨道设计问题:保持星团尽可能稳定,防止星团内的碰撞,将星间距离保持在最大区域内。首先,采用相对轨道元素来描述相对运动。然后,根据相对轨道元素制定编队设计要求,采用混合粒子群优化算法结合序列二次规划局部搜索求解约束优化问题。仿真结果表明,混合PSO-SQP算法是有效的。

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