Abstract
The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction.
Article PDF
Similar content being viewed by others
References
Hou Z Q, Hu J G. Spacecraft Thermal Control Technology (in Chinese). Beijing: China Science Technology Publishing House, 2007. 358, 360, 411–418
Weng J H, Pan Z F. A Correction method for spacecraft thermal network and its coefficients (in Chinese). Chin Space Sci Technol, 1995, 15: 10–15
Liu W, Jia H. Thermal model correction for resources-2 satellite (in Chinese). Spacecraft Engin, 2003, 12: 29–35
Cruse T A, Wu Y T, et al. Probabilistic structural analysis methods and applications. Computers Structures, 1988, 30: 163–170
Pei L C, Wang Z Q. Monte Carlo Method and Its Application (in Chinese). Beijing: Beijing Ocean Press, 1988. 50–54
Wang J Y. Geophysical Inversion Theory (in Chinese). Beijing: Higher Education Press, 2002. 136–139
Cheng W L, Zhan H Z, Zhao R. A new method of thermal probe for thermal conductivities measurement based on Monte Carlo inversion (in Chinese). J China Univ Sci Tech, 2008, 38: 414–418
Wang Y M, Wang Y J, Wang W H, et al. FY-3 satellite ultraviolet total ozone unite. Chinese Sci Bull, 2009, 54: 3778–3783
Huang F X, Liu N Q, Zhao M X, et al. Vertical ozone profiles deduced from measurement of SBUS on FY-3 satellite. Chinese Sci Bull, 2009,54: 2556–2561
Zhang X M, Sun R M, Teng J W. Study on thickness of crust, lithosphere and asthenosphere in Qinghai-Tibet Plateau and its adjacent areas. Chinese Sci Bull, 2007, 52: 332–338
Herrera F L. Stochastic Approach to spacecraft thermal control subsystem. SAE 2000-01-2484 [2000, 7]. http://www.sae.org/technical/papers/2000-01-2484
Yang H N, Zhong Q. Monte-Carlo method for thermal model correction of spacecraft (in Chinese). Spacecraft Engin, 2009, 18:53–58
Mareschi V, Perotto V, Gorlani M. Thermal test correlation with stochastic technique. SAE 2005-01-2855 [2005, 7]. http://www.sae.org/technical/papers/2005-01-2855
Liu N, Cheng W L, Zhong Q, Fan Q M. Sensitivity analysis of spacecraft thermal model based on Monte-Carlo method (in Chinese). Spacecraft Engin, 2009, 18: 102–107
Cheng W L, Liu N, Zhong Q, Fan Q M. Study on parameters correction method of steady-state thermal model for spacecraft (in Chinese). J Astronautics, 2010, 1: 270–275
Ma H T, Hua C S. Research of thermal modeling method and temperature prediction for communication satellite platform. Chinese Space Sci Tech, 2002, 22: 54–60
Wan Z P, Fei P S. Optimization Theory and Method (in Chinese). Wuhan: Wuhan University Press, 2004. 62–76
Author information
Authors and Affiliations
Corresponding author
Additional information
This article is published with open access at Springerlink.com
Rights and permissions
This article is published under an open access license. Please check the 'Copyright Information' section either on this page or in the PDF for details of this license and what re-use is permitted. If your intended use exceeds what is permitted by the license or if you are unable to locate the licence and re-use information, please contact the Rights and Permissions team.
About this article
Cite this article
Cheng, W., Liu, N., Li, Z. et al. Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm. Chin. Sci. Bull. 56, 1407–1412 (2011). https://doi.org/10.1007/s11434-010-4053-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11434-010-4053-z