欢迎访问《兵工学报》官方网站,今天是 分享到:

兵工学报 ›› 2021, Vol. 42 ›› Issue (5): 1065-1073.doi: 10.3969/j.issn.1000-1093.2021.05.019

• 论文 • 上一篇    下一篇

空间绳网结构设计及优化方法

司骥跃1, 庞兆君1, 由锰2, 冯广斌1, 杜忠华1   

  1. (1.南京理工大学 机械工程学院, 江苏 南京 210094; 2.上海航天控制技术研究所, 上海 200233)
  • 上线日期:2021-06-12
  • 通讯作者: 庞兆君(1985—),男,讲师,博士 E-mail:pangzj@njust.edu.cn
  • 作者简介:司骥跃(1993—),男,博士研究生。E-mail: sijy@njust.edu.cn
  • 基金资助:
    国家自然科学基金项目(11802130);江苏省自然科学基金项目(BK20170819);中央高校基本科研业务费专项资金项目(30920021109)

Structural Design and Optimization of Space Tether-net

SI Jiyue1, PANG Zhaojun1, YOU Meng2, FENG Guangbin1, DU Zhonghua1   

  1. (1.School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China; 2.Shanghai Aerospace Control Technology Institute, Shanghai 200233, China)
  • Online:2021-06-12

摘要: 在空间绳网的展开阶段,牵引体与绳网本体的动能交换使得绳网中心出现回弹现象,严重影响着绳网展开性能。基于四边形平面绳网,在不改变绳网拓扑结构前提下,通过优化网目结构提升绳网展开性能;引入两种矩阵分别表示绳网拓扑结构及绳段长度,使用弹簧质点法建立绳网动力学模型,并以有效展开位移为优化目标,提出一种基于遗传算法的网目结构优化策略。通过数值仿真对比了绳网优化前后的结构及展开性能,结果表明,采用优化结构的绳网能够在几乎不影响最大展开率前提下,抑制绳网回弹,提高绳网的有效展开位移。

关键词: 空间绳网, 网目结构, 优化, 展开性能, 遗传算法

Abstract: The kinetic energy exchange between the bullets and the space tether-net makes the net rebound during the deployment, which severely affects the deployment performance of tether-net. The deployment performance of the quadrilateral net is improved by optimizing the mesh structure without changing the topological structure of tether-net. Two kinds of matrices are introduced to represent the topological structure and length of net, and the mass-spring-damper method is used to model the tether-net. An optimization strategy of mesh structure based on a genetic algorithm is proposed to optimize the effective deployment displacement. Finally, the structure and deployment performances of tether-nets with and without optimization are compared by numerical simulation. The rebound of the optimized net can be restrained and its effective deployment displacement can be improved without reducing the maximum deployment rate.

Key words: spacetether-net, meshstructure, optimization, deploymentperformance, geneticalgorithm

中图分类号: