航天器工程2023，Vol.32Issue(6)：25-30,6.DOI:10.3969/j.issn.1673-8748.2023.06.004
应用过程神经网络的航天器瞬态温度预测方法
Transient Temperature Prediction Method for Spacecraft Using Process Neural Network
陈冠宇 1杨森 1彭威 1多乐乐 1张健鹏 1刘宪闯1
作者信息
- 1. 湖北航天技术研究院总体设计所,武汉 430040
- 折叠
摘要
Abstract
The temperature of spacecraft in orbit is greatly affected by the space thermal environ-ment,and the thermal analysis and testing during the development stage are usually time-consu-ming.Therefore,it is crucial to provide accurate and effective prediction methods for warning temperature information in orbit and improving the efficiency of thermal simulation and testing.A transient temperature prediction method for spacecraft is proposed in this paper.Based on the measured temperature data of spacecraft in orbit,a sample set is constructed using phase space re-construction theory to complete training.A transient temperature prediction model is established using process neural networks,and the temperature is extrapolated for prediction.After verifica-tion,the maximum absolute error of the temperature prediction model established based on the temperature prediction method is 0.746K,which can achieve rapid prediction of transient temper-ature of spacecraft while meeting engineering accuracy.关键词
航天器瞬态温度预测/过程神经网络/相空间重构理论Key words
transient temperature prediction for spacecraft/process neural network/phase space reconstruction theory分类
航空航天引用本文复制引用
陈冠宇,杨森,彭威,多乐乐,张健鹏,刘宪闯..应用过程神经网络的航天器瞬态温度预测方法[J].航天器工程,2023,32(6):25-30,6.
