A Spacecraft Equipment Layout Optimization Method for Diverse and Competitive Design

被引:0
作者
Cong, Wei [1 ]
Zhao, Yong [1 ]
Du, Bingxiao [1 ]
Huo, Senlin [1 ]
Chen, Xianqi [1 ]
机构
[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha 410073, Peoples R China
来源
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2023年 / 136卷 / 01期
关键词
Layout optimization; non-overlap; similarity measures; sampling methods; physical performance;
D O I
10.32604/cmes.2023.025143
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The spacecraft equipment layout optimization design (SELOD) problems with complicated performance con-straints and diversity are studied in this paper. The previous literature uses the gradient-based algorithm to obtain optimized non-overlap layout schemes from randomly initialized cases effectively. However, these local optimal solutions are too difficult to jump out of their current relative geometry relationships, significantly limiting their further improvement in performance indicators. Therefore, considering the geometric diversity of layout schemes is put forward to alleviate this limitation. First, similarity measures, including modified cosine similarity and gaussian kernel function similarity, are introduced into the layout optimization process. Then the optimization produces a set of feasible layout candidates with the most remarkable difference in geometric distribution and the most representative schemes are sampled. Finally, these feasible geometric solutions are used as initial solutions to optimize the physical performance indicators of the spacecraft, and diversified layout schemes of spacecraft equipment are generated for the engineering practice. The validity and effectiveness of the proposed methodology are demonstrated by two SELOD applications.
引用
收藏
页码:621 / 654
页数:34
相关论文
共 35 条
  • [1] Tools of mathematical modeling of arbitrary object packing problems
    Bennell, J.
    Scheithauer, G.
    Stoyan, Y.
    Romanova, T.
    [J]. ANNALS OF OPERATIONS RESEARCH, 2010, 179 (01) : 343 - 368
  • [2] Simple and effective strategies to generate diverse designs for truss structures
    Cai, Qi
    He, Linwei
    Xie, Yimin
    Feng, Ruoqiang
    Ma, Jiaming
    [J]. STRUCTURES, 2021, 32 : 268 - 278
  • [3] PaDGAN: Learning to Generate High-Quality Novel Designs
    Chen, Wei
    Ahmed, Faez
    [J]. JOURNAL OF MECHANICAL DESIGN, 2021, 143 (03)
  • [4] A novel satellite layout optimization design method based on phi-function
    Chen, Xianqi
    Yao, Wen
    Zhao, Yong
    Chen, Xiaoqian
    Liu, Wei
    [J]. ACTA ASTRONAUTICA, 2021, 180 : 560 - 574
  • [5] A practical satellite layout optimization design approach based on enhanced finite-circle method
    Chen, Xianqi
    Yao, Wen
    Zhao, Yong
    Chen, Xiaoqian
    Zheng, Xiaohu
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2018, 58 (06) : 2635 - 2653
  • [6] Mathematical model and efficient algorithms for object packing problem
    Chernov, N.
    Stoyan, Yu.
    Romanova, T.
    [J]. COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, 2010, 43 (05): : 535 - 553
  • [7] A multi-objective methodology for spacecraft equipment layouts
    Curty Cuco, Ana Paula
    de Sousa, Fabiano L.
    Silva Neto, Antnio J.
    [J]. OPTIMIZATION AND ENGINEERING, 2015, 16 (01) : 165 - 181
  • [8] Mathematical models and decomposition algorithms for cutting and packing problems
    Delorme, Maxence
    [J]. 4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH, 2018, 16 (02): : 229 - 230
  • [9] A Parametric Level Set Method for Topology Optimization Based on Deep Neural Network
    Deng, Hao
    To, Albert C.
    [J]. JOURNAL OF MECHANICAL DESIGN, 2021, 143 (09)
  • [10] Dommaraju N., 2022, APPL INTELL, V52, P1, DOI DOI 10.1007/S10489-022-03301-0