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

• Published in: Acta astronautica 2020-02, Vol.167, p.286-295
• Main Authors: Chen, Qingquan, Zhang, Qingbin, Gao, Qingyu, Feng, Zhiwei, Tang, Qiangang, Zhang, Guobin
• Format: Article
• Language: English
• Subjects: Active debris removal; Algorithms; Computer simulation; Design; Design optimization; Evolutionary algorithms; Flexible dynamics; Lumped parameter method; Multi-objective optimization; Multiple objective analysis; Net capture system; Systems design
• ISSN: 0094-5765; 1879-2030
• DOI: 10.1016/j.actaastro.2019.11.003

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. •A multi-objective optimal design framework for space net system is proposed.•A lumped parameter model is studied and verified with ground test.•System mass and effective working distance are chosen as optimization targets.•MOEA/D EGO optimization algorithm is improved and used to solve this time expensive optimization problem.•A new evaluation index, effective working distance, is proposed based on the target coverage ratio.