低轨卫星的气动特性预测与分析

黄飞; 赵波; 程晓丽; 吕俊明

doi:10.11728/cjss2015.01.069

低轨卫星的气动特性预测与分析

doi: 10.11728/cjss2015.01.069

中国航天空气动力技术研究院北京 100074

详细信息

中图分类号: V211.25
计量
- 文章访问数: 1172
- HTML全文浏览量: 49
- PDF下载量: 1016
- 被引次数: 0
出版历程
- 收稿日期: 2013-11-04
- 修回日期: 2014-03-22
- 刊出日期: 2015-01-15

Numerical Investigation of Aerodynamics on Low Earth Orbit Satellite

China Academy of Aerospace Aerodynamics, Beijing 100074

摘要

摘要: 针对低轨卫星高空自由分子流区的飞行环境特征,采用GOCE卫星典型弹道下的气动数据对DSMC仿真方法进行了算例验证,并就CLL模型下不同物面反射系数对GOCE卫星流场特征及气动特性的预测差异进行了对比分析,给出不同物面反射系数对卫星阻力预测的定量差异.结果表明,本文方法所得气动阻力与文献结果吻合较好,能够在此飞行区域给出合理的气动阻力;当反射系数从0.1逐渐变化至1.0时,卫星流场的驻点区域、尾部方向舵区域压力分布逐渐从带状结构向扇形结构过渡;在所研究的工况下,随着物面反射系数的增加,摩阻系数预测结果偏大,压阻系数预测结果偏小,总阻力先增加后减小,约在反射系数0.8附近达到最大.
- 低轨卫星 /
- GOCE /
- DSMC /
- CLL物面模型 /
- 阻力系数
Abstract: DSMC code is validated with GOCE satellite free molecule aerodynamics data in\linebreak reference. The difference of GOCE satellite flow field and aerodynamic characteristics computed with different wall reflect coefficient is shown. Results show that the drag force coefficient computed by present code is in good agreement with that of the reference. When the wall reflection coefficient is changed from 0.1 to 1.0, the pressure distribution at the local stagnation and wing head region is shown to change from banded structure to ellipse structure. With the wall reflection coefficient increasing, the friction drag coefficient increases, and the pressure drag coefficient decreases, which results in that the total drag coefficient increases firstly, decreases then, and reaches its maximum when the wall reflection coefficient is about 0.8.
- Low Earth orbit satellite /
- GOCE /
- DSMC /
- CLL model /
- Drag force coefficient

HTML全文

参考文献(16)

[1]	Evers W J. GOCE dynamical analysis and Drag Free Mode Control[R], DCT Report 2004.4
[2]	Doornbos E, Klinkrad H. Modeling of space weather effects on satellite drag[J]. Adv. Space Res., 2006, 37:1229-1239
[3]	Koppenwallner G. Satellite aerodynamics and determination of thermo-spheric density and wind[J]. AIP Conf. Proc., 2011, 1333:1307-1312
[4]	Di Cara D, Gonzalez del Amo J, Santovincenzo A. RAM Electric Propulsion for Low Earth Orbit Operation: an ESA Study[R], IEPC-2007-162
[5]	Koppenwallner G. Comment on special section: New perspectives on the satellite drag environments of Earth, Mars, and Venus[J]. J. Spacecr. Rockets, 2008, 45(6): 1324-1327
[6]	Kenneth M, Rice C J, Mildred M. Moe Simultaneous Analysis of Multi-instrument Satellite Density Data[R], AIAA 2003-570, 2003
[7]	Moore P, Sowter A. Application of a satellite aerodynamics model based on normal and tangential momentum accommodation coefficients[J]. Planet. Space Sci., 1991, 39: 1405-1419
[8]	Bushuev E I, Vasileva A I, Kameko V F. Investigation of upper atmospheric density and satellite aerodynamics on the basis of orbital evolution data[C]//Determination of Spacecraft Motion. Moscow, Izdatel'stvo Nauka, 1975: 168-182
[9]	Priester W, Roemer M, Volland H. The physical behavior of the upper atmosphere deduced from satellite drag data[J]. Space Sci. Rev., 1967, 6(6):707-780
[10]	Harrison I K, Swinerd G G. A free molecule aerodynamic investigation using multiple satellite analysis[J]. Planet. Space Sci., 1996, 44(2):171-180
[11]	Frank A M. Accuracy of atmospheric drag models at low satellite altitudes[J]. Adv. Space Res., 1990, 10(3/4):417-422
[12]	Carmen P, Tobiska W K, Anselmo L. Analysis of the orbital decay of spherical satellites using different solar flux proxies and atmospheric density models[C]//35th COSPAR Scientific Assembly. Paris, France: COSPAR, 2004
[13]	Zhou Weiyong, Zhang Yulin, Liu Kun. Aerodynamics analysis and reduced drag design for the lower LEO spacecraft[J]. J. Astron., 2010, 31(2):342-348. In Chinese (周伟勇, 张育林, 刘昆. 超低轨航天器气动力分析与减阻设计[J]. 宇航学报, 2010, 31(2):342-348)
[14]	Canutoa E, Massottib L. All-propulsion design of the drag-free and attitude control of the European satellite GOCE[J]. Acta Astron., 2009, 64:325-344
[15]	Bird G A. molecular Gas Dynamics and Direct Simulation of Gas Flow[M]. London: Oxford University Press, 1994
[16]	Borganoff C, Larsen P S. Statistical collision model for Monte Carlo simulation of polyatomic gas mixture[J]. J. Comput. Phys., 1975, 18:405-420