南京航空航天大学学报（英文版）2022，Vol.39Issue(4)：379-388,10.
考虑碰撞避免的多航天器智能轨道相位控制
Multi-spacecraft Intelligent Orbit Phasing Control Considering Collision Avoidance
摘要
Abstract
This paper proposes an intelligent low-thrust orbit phasing control method for multiple spacecraft by simultaneously considering fuel optimization and collision avoidance. Firstly,the minimum-fuel orbit phasing control database is generated by the indirect method associated with the homotopy technique. Then,a deep network representing the minimum-fuel solution is trained. To avoid collision for multiple spacecraft,an artificial potential function is introduced in the collision-avoidance controller. Finally,an intelligent orbit phasing control method by combining the minimum-fuel neural network controller and the collision-avoidance controller is proposed. Numerical results show that the proposed intelligent orbit phasing control is valid for the multi-satellite constellation initialization without collision.关键词
轨道相位控制/小推力/深度神经网络/碰撞规避Key words
orbit phasing control/low thrust/deep neural networks/collision avoidance分类
航空航天引用本文复制引用
历鉴,张刚..考虑碰撞避免的多航天器智能轨道相位控制[J].南京航空航天大学学报（英文版）,2022,39(4):379-388,10.基金项目
This work was supported in part by the National Natural Science Foundation of China(No.11772104),in part by the Key Research and Development Plan of Heilongjiang Province(No.GZ20210120),and in part by the Fundamental Research Funds for the Central Uni-versities. （No.11772104）
