Design and optimization of a space net capture system based on a multi-objective evolutionary algorithm

被引：15
|
作者：
Chen, Qingquan [1 ]
Zhang, Qingbin [1 ]
Gao, Qingyu [1 ]
Feng, Zhiwei [1 ]
Tang, Qiangang [1 ]
Zhang, Guobin [1 ]
机构：
[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, 109 Deya Rd, Changsha 410073, Hunan, Peoples R China
来源：
ACTA ASTRONAUTICA | 2020年 / 167卷
基金：
中国国家自然科学基金;
关键词：
Active debris removal; Net capture system; Multi-objective optimization; Lumped parameter method; Flexible dynamics;
D O I：
10.1016/j.actaastro.2019.11.003
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Space net capture is an innovative concept for active debris removal that provides a prospective method for the removal of large, non-cooperative space targets. The design of a space net capture system must meet two basic requirements: maximizing the capture ability and minimizing the system cost. This paper presents an inexpensive multi-objective optimization framework to solve this design problem. In this framework, a design optimization approach using a lumped parameter modelling method as well as an improved inexpensive multi-objective optimization algorithm is proposed. The system mass and effective distance are chosen as objectives of this optimization problem. The simulation results reveal that the multi-objective optimization framework is feasible and effective for the design of a space net capture system, and the designer preferred solutions that enhance system design are reliably identified.
引用
收藏
页码：286 / 295
页数：10
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