CubeSat formations or constellations can form distributed space sensor networks, enhancing the ability of the CubeSat to execute sophisticated space missions. However, CubeSats are prone to malfunction, and the uncertainty of their failure time causes the performance instability of the sensor network, highlighting the importance of on-orbit maintenance of CubeSat networks. In view of the function maintenance of space CubeSat sensor networks, a maintenance architecture is described. It can improve the rapid responsiveness and recovery capability to a single CubeSat fault event of the network by launching CubeSats regularly, making backup CubeSats on the orbit and replacing damaged CubeSats in time. The operation cost model of this architecture is built, involving fixed costs, storage costs and shortage costs. The practical CubeSat lifetime data is collected to acquire the optimal CubeSat lifetime stochastic model with the parameter estimation optimization method of maximizing the coefficient of determination. The supply time and quantity of spare CubeSats are optimized by a Monte-Carlo-simulation-based genetic algorithm. This solution is a trade-off between the costs of backups and the losses caused by the system performance decline, finally achieving an optimal comprehensive income.
FU Honglan
,
ZHANG Hao
,
GAO Yang
. Maintenance architecture optimization of CubeSat networks based on reliability analysis[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020
, 41(7)
: 323696
-323696
.
DOI: 10.7527/S1000-6893.2020.23696
[1] HEIDT H, PUIG-SUARI J, MOORE A, et al. CubeSat:A new generation of picosatellite for education and industry low-cost space experimentation[C]//14th Annual AIAA/USU Conference on Small Satellites. Reston:AIAA, 2000.
[2] SHIROMA W A, MARTIN L K, AKAGI J M, et al. CubeSats:A bright future for nanosatellites[J]. Open Engineering, 2011, 1(1):9-15.
[3] CHIN A, COELHO R, NUGENT R, et al. CubeSat:The pico-satellite standard for research and education[C]//AIAA SPACE 2008 Conference & Exposition. Reston:AIAA, 2008.
[4] ZHANG H, GURFIL P. Nanosatellite cluster keeping under thrust uncertainties[J]. Journal of Guidance, Control, and Dynamics, 2014, 37(5):1406-1414.
[5] POGHOSYAN A, GOLKAR A. CubeSat evolution:Analyzing CubeSat capabilities for conducting science missions[J]. Progress in Aerospace Sciences, 2017, 88:59-83.
[6] Planet Labs Inc. Planet imagery and archive[EB/OL].[2019-11-01]. https://www.planet.com/products/planet-imagery/.
[7] PERAL E, TANELLI S, HADDAD Z, et al. Raincube:A proposed constellation of precipitation profiling radars in CubeSat[C]//2015 IEEE International Geoscience and Remote Sensing Symposium. Piscataway:IEEE Press, 2015:1261-1264.
[8] CHEN H R, LIU J K, LONG L, et al. Lunar far side positioning enabled by a CubeSat system deployed in an Earth-Moon halo orbit[J]. Advances in Space Research, 2019, 64(1):28-41.
[9] BANDYOPADHYAY S, FOUST R, SUBRAMANIAN G P, et al. Review of formation flying and constellation missions using nanosatellites[J]. Journal of Space and Rockets, 2016, 53(3):567-578.
[10] WEN C X, ZHANG H, GURFIL P. Orbit injection considerations for cluster flight of nanosatellites[J]. Journal of Spacecraft and Rockets, 2014, 52(1):196-208.
[11] VILLELA T, COSTA C A, BRANDÃO A M, et al. Towards the thousandth CubeSat:A statistical overview[J]. International Journal of Aerospace Engineering, 2019(3):1-13.
[12] RIESING K. Orbit determination from two line element sets of ISS-deployed cubesats[C]//29th Annual AIAA/USU Conference on Small Satellites. Reston:AIAA, 2015.
[13] 项军华, 张育林. 基于卫星可靠度和MTTR星座空间备份策略设计[J]. 系统工程与电子技术, 2007, 29(9):1576-1580. XIANG J H, ZHANG Y L. Design of spatial backup strategy for constellation based on satellite reliability and MTTR[J]. Systems Engineering and Electronics, 2007, 29(9):1576-1580(in Chinese).
[14] DU JONCHAY T S, HO K. Impact evaluation of an orbital depot on on-orbit servicing infrastructures dedicated to modularized earth-orbiting platforms[J]. Acta Astronautica, 2017, 132:192-203.
[15] 胡敏, 宋旭民, 杨雪榕. 基于Petri网的Walker导航星座备份策略研究[J]. 航天器工程, 2017, 26(2):14-21. HU M, SONG X M, YANG X R. Research on spare stratege of Walker navigation constellation based on Petri net[J]. Spacecraft Engineering, 2017, 26(2):14-21(in Chinese).
[16] ZHANG H, MENG D B, ZONG Y Y, et al. A modeling and analysis strategy of constellation availability using on-orbit and ground added launch backup and its application in the reliability design for a remote sensing satellite[J]. Advances in Mechanical Engineering, 2018, 10(4):1-6.
[17] GU J Y, ZHANG G Q, LI K W. Efficient aircraft spare parts inventory management under demand uncertainty[J]. Journal of Air Transport Management, 2015, 42:101-109.
[18] CASTET J F, SALEH J H. Satellite and satellite subsystems reliability:Statistical data analysis and modeling[J]. Reliability Engineering & System Safety, 2009, 94(11):1718-1728.
[19] GUO J, MONAS L, GILL E. Statistical analysis and modelling of small satellite reliability[J]. Acta Astronautica, 2014, 98(1):97-110.
[20] CASTET J F, SALEH J H. Satellite reliability:Statistical data analysis and modeling[J]. Journal of Spacecraft and Rockets, 2009, 46(5):1065-1076.
[21] CROWDER M J, KIMBER A C, SMITH R L, et al. Statistical analysis of reliability data[M]. London:Routledge,2017:16-27.
[22] ERIK K. Nanosats database[EB/OL].[2018-11-01]. https://www.nanosats.eu/.
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