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

页码：286 / 295

页数：10

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