中国空间科学技术

›› 2013, Vol. 33 ›› Issue (1): 45-52.doi: 10.3780/j.issn.1000-758X.2013.01.007

• 技术交流 • 上一篇    下一篇

空间相机热平衡试验温度预测方法改进及应用

石进峰1,2,吴清文1,黄勇1,杨献伟1   

  1. （1 中国科学院长春光学精密机械与物理研究所，长春 130033）（2 中国科学院研究生院，北京100049）
  • 收稿日期:2012-06-05 修回日期:2012-07-12 出版日期:2013-02-25 发布日期:2013-02-25
  • 作者简介:石进峰 1986年生，2009年毕业于哈尔滨工业大学力学专业，现为中科院长春光机所机械制造及自动化专业博士研究生，研究方向为空间光学遥感器热设计与热分析。
  • 基金资助:

    国家重大工程资助课题

Application and Improvement of Temperature Prediction Method for Thermal Balance Test of Space Camera

Shi Jinfeng1,2,Wu Qingwen1,Huang Yong1,Yang Xianwei1   

  1. （1 Changchun Institute of Optics，Fine Mechanics and Physics，Chinese Academy of Sciences，Changchun 130033）（2 Graduate University of Chinese Academy of Sciences，Beijing 100049）
  • Received:2012-06-05 Revised:2012-07-12 Published:2013-02-25 Online:2013-02-25

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被引次数

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摘要： 为实现对航天器热平衡试验平衡温度的预测，建立了热平衡温度预测的方程式，对影响预测结果的各参数进行了分析。首先，由节点网络法推导出平衡温度表达式，介绍了其基于非线性最小二乘法的求解过程，建立了平衡温度的迭代方程；其次，结合大量的试验数据，对影响迭代结果的3个因素进行了统计分析，并最终确定了各因素的合理取值范围；最后，利用温度预测程序对某空间相机热平衡试验中低温工况的平衡温度进行了预测，并与试验结束后的结果进行了对比。结果表明，预测温度与试验数据的误差为±1℃（在3%之内），满足精度要求，对热平衡温度准确的预测有效的缩短了试验时间，节省试验费用。

关键词: 节点网络法, 热平衡试验, 温度预测, 非线性最小二乘法, 空间相机

Abstract: In order to predict the balance temperature of thermal balance test for spacecraft, equation for predicting the thermal balance temperature was established. The parameters which influenced the prediction accuracy were analyzed. Firstly, the formula of balance temperature was derived by the node network method. The solution process of the formula based on the non-linear least square method was introduced. The iterative equation of balance temperature was deduced. Secondly, based on a large number of experimental data, a statistical analysis for three factors that influenced the results of the iteration equation was done, and a reasonable range of each factor was determined. Finally, the balance temperature of a space-camera′s temperature balance testing in low temperature condition was predicted by the temperature prediction process. At the end of the experiment, the analysis results were compared with the experiment results. It is shown that the error between the predicted temperature and the test data is less than ±1℃(the error is within 3%). It meets the accuracy requirements of the test. The accurate prediction of the balance temperature could short the test time and save the cost of test effectively.

Key words: Node network method, Thermal balance test, Temperature prediction, Non-linear least square method, Space camera