航天器环境工程2024，Vol.41Issue(3)：290-295,6.DOI:10.12126/see.2023095
一种航天器在轨环境下结构变形的反演方法
An inversion method for structural deformation of spacecraft in orbit
孙维 1王丁 1罗文波 1阎军 2田阔 2赵文彦 1任晗 1张鹏1
作者信息
- 1. 北京空间飞行器总体设计部,北京 100094
- 2. 大连理工大学 力学与航空航天学院,大连 116024
- 折叠
摘要
Abstract
A neural network-based inversion method for efficient calculation of structural deformation of spacecraft in orbit was proposed in this paper.Finite element analysis was used to obtain the deformation distribution characteristics of the structure under different temperature loads.The achieved data was applied to train the neural network between input and output to get a high-precision proxy model.By this model,the temperature measured in orbit was applied as input to invert the full field deformation of spacecraft structures rapidly.The adaptability of neural networks to input errors was enhanced by adding Gaussian noise with appropriate parameters.Using an improved weight connection analysis method,the layout optimization of the temperature measurement points of the structure with the highest deformation inversion accuracy was given for determining the number of sensors.The proposed method featured by high accuracy,strong real-time performance,and minimal susceptibility to input errors,is of significance for improving the imaging quality of remote sensing satellites.关键词
航天器/结构变形/位移场反演/神经网络/代理模型Key words
spacecraft/structural deformation/displacement field inversion/neural network/proxy model分类
航空航天引用本文复制引用
孙维,王丁,罗文波,阎军,田阔,赵文彦,任晗,张鹏..一种航天器在轨环境下结构变形的反演方法[J].航天器环境工程,2024,41(3):290-295,6.
