• 论文 •

基于BP神经网络的纳卫星轨道温度预测

1. 北京航空航天大学 航空科学与工程学院, 北京 100191
• 收稿日期:2007-12-10 出版日期:2008-12-31 发布日期:2010-09-16
• 作者简介:张旭东(1983- ),男,山东烟台人,硕士生,zhangxudong1983@gmail.com.
• 基金资助:

国家自然科学基金资助项目(50506003)

Temperature prediction for nano satellite on orbit based on BP neural network

Zhang Xudong, Li Yunze

1. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
• Received:2007-12-10 Online:2008-12-31 Published:2010-09-16

Abstract: In order to realize the temperature prediction for nano satellite on orbit, a basic thermal environment model of nano satellite was established and analyzed. A BP neural network was used to predict the temperature of nano satellite based on it. After the analysis of the thermal environment model, the thermal flow of satellite-s crust, radiater and equipments in cabin was got and used as the inputs of the BP neural network, their temperatures were used as the outputs and data sample of BP neural network was got and used to train BP neural network. The BP neural network which was trained is the temperature prediction model of nano satellite and used to predict the temperature of the satellite on orbit after 10s. Results fit the actual temperature of nano satellite on orbit well, and show that the temperature prediction model of neural network can predict the temperature of nano satellite accurately and rapidly.