| 基于BP神经网络的纳卫星轨道温度预测 |
| |
| 引用本文： | 张旭东,李运泽.基于BP神经网络的纳卫星轨道温度预测[J].北京航空航天大学学报,2008,34(12):1423-1427. |
| |
| 作者姓名： | 张旭东 李运泽 |
| |
| 作者单位： | 北京航空航天大学 航空科学与工程学院, 北京 100191 |
| |
| 基金项目： | 国家自然科学基金资助项目
|
| |
| 摘 要： | 为了实现纳卫星在轨温度的预测,在对纳卫星热系统动态特性模型分析的基础上,建立BP神经网络预测模型实现纳卫星在轨温度的预测.通过分析纳卫星热系统动态特性模型,得到用于BP神经网络预测模型的输入、输出变量以及训练神经网络所需的数据样本.BP神经网络预测模型分别以纳卫星外壳、辐射器、舱内仪器的热流及温度值为神经网络输入、输出,预测纳卫星10s后的轨道温度.经验证,神经网络预测模型预测结果与纳卫星实际轨道温度吻合较好,表明神经网络预测模型是快捷有效的.
|
| 关 键 词： | 纳卫星 BP神经网络 温度预测 |
| 收稿时间： | 2007-12-10 |
Temperature prediction for nano satellite on orbit based on BP neural network |
| |
| Zhang Xudong,Li Yunze.Temperature prediction for nano satellite on orbit based on BP neural network[J].Journal of Beijing University of Aeronautics and Astronautics,2008,34(12):1423-1427. |
| |
| Authors: | Zhang Xudong Li Yunze |
| |
| Institution: | School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China |
| |
| 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 an... |
| |
| Keywords: | nano satellite BP neural networks temperature prediction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《北京航空航天大学学报》浏览原始摘要信息 |
| 点击此处可从《北京航空航天大学学报》下载免费的PDF全文 |
