| Citation: | CHEN Yunpeng, PANG Liping, YIN Yongli, et al. Emergency strategy operation optimization for atmosphere environment control system in space station[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(9): 1924-1930. doi: 10.13700/j.bh.1001-5965.2016.0664(in Chinese)
|
Environment control system (ECS) in a space station is an essential system for the astronaut life safety. Composed of a number of coupling subsystems, the ECS functions as the controller of the cabin air condition and the environmental parameters, which are essential parts to the astronauts' life safety. As its subsystems are power-consuming, the system's regular operation highly relies on the stability of the power supply system and the ECS should have the ability to reconfigure operation strategy in some emergency conditions. In this paper, the emergency strategy optimization method of ECS is studied under potential insufficient power supply condition. To study this issue, we establish basic ECS mathematical models involving its substances, energy as well as consumption, and the non-regenerative substance lifetime conception, which represents the remaining amount of non-regenerative life support substance. A multi-objective optimization method is developed to search the ECS emergency strategy. The maximum non-regenerative substance lifetime and the minimum power consumption are chosen as the optimization objective functions. Some adjustable key variables are chosen as the optimal variables, which represent the way to reconfigure the operation strategy. With the constraints of 5 main environmental parameters, the non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) is adopted to obtain the Pareto optimal solution set and the Pareto optimal frontier (POF). The results of optimization research show that the presented optimal method can obtain the optimal emergency electric energy allocation strategy for subsystems under different insufficient power supply conditions, and the optimal reconfigured operation strategy can meet the maximum system lifetime and minimum system supply energy requirement.
| [1] |
LARSON W J, PRANKE L K.Human spaceflight:Mission analysis and design[M].Columbus:McGraw-Hill, 2007:539-574.
|
| [2] |
WIELAND P O.Living together in space:The design and operation of the life support systems on the international space station[M].Huntsville, AL:National Aeronautics and Space Administration, Marshall Space Flight Center, 1998:120-156.
|
| [3] |
ROMANI R, GOES L C S.Cabin temperature control model for commercial aircraft[C]//Proceedings of AIAA Modeling and Simulation Technologies Conference.Reston:AIAA, 2012:1-15.
|
| [4] |
靳健, 侯永青.载人航天器空气环境参数控制非定常仿真分析[J].航空学报, 2014, 35(11):2970-2978. http://www.cnki.com.cn/Article/CJFDTOTAL-HKXB201411008.htm
JIN J, HOU Y Q.Unsteady simulation analysis on air environment parameters control of manned spacecraft[J].Acta Aeronautica et Astronautica Sinica, 2014, 35(11):2970-2978(in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-HKXB201411008.htm
|
| [5] |
ANDERSON G, MARTIN C E.Evaluation and application of Apollo ECLS/ATCS systems to future manned missions[C]//43rd AIAA Aerospace Sciences Meeting and Exhibit.Reston:AIAA, 2005:1-13.
|
| [6] |
HAJELA G, COHEN F, DALTON P.International space station power reinitialization[J].IEEE Aerospace and Electronic Systems Magazine, 2003, 18(4):19-24. doi: 10.1109/MAES.2003.1194085
|
| [7] |
MAK T.A study of on-orbit spacecraft failures[J].Acta Astronautica, 2009, 64(2):195-205.
|
| [8] |
KIM S Y, CASTET J F, SALAH J H.Spacecraft electrical power subsystem:Failure behavior, reliability, and multi-state failure analyses[J].Reliability Engineering and System Safety, 2012, 98:55-65. doi: 10.1016/j.ress.2011.10.005
|
| [9] |
孙晨, 徐向华, 梁新刚.空间站主动热控回路的热负荷分配优化[J].工程热物理学报, 2014, 35(10):2049-2052. http://www.cnki.com.cn/Article/CJFDTOTAL-GCRB201410035.htm
SUN C, XU X H, LIANG X G.Heat load distribution optimization of active thermal control system for space station[J].Journal of Engineering Thermophysics, 2014, 35(10):2049-2052(in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-GCRB201410035.htm
|
| [10] |
LIN K P, LUO Y Z, TANG G J.Optimization of logistics strategies for long-duration space-station operation[J].Journal of Spacecraft And Rockets, 2014, 51(5):1709-1720. doi: 10.2514/1.A32773
|
| [11] |
任建勋, 张信荣, 尚传勋, 等.载人航天器SPE制氧系统性能分析[J].清华大学学报(自然科学版), 2002, 42(8):1102-1105. http://www.cnki.com.cn/Article/CJFDTOTAL-QHXB200208028.htm
REN J X, ZHANG X R, SHANG C X, et al.Performance analysis of SPE oxygen generation system in manned spacecraft[J].Journal of Tsinghua University(Natural Science Edition), 2002, 42(8):1102-1105(in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-QHXB200208028.htm
|
| [12] |
LIU M, YANG D, PANG L, et al.Experimental and computational investigation of adsorption performance of TC-5A and PSA-5A for manned spacecraft[J].Chinese Journal of Aeronautics, 2015, 28(6):1583-1592. doi: 10.1016/j.cja.2015.08.003
|
| [13] |
DEB K, PRATAP A, AGARWAL S, et al.A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions on Evolutionary Computation, 2002, 6(2):182-197. doi: 10.1109/4235.996017
|
| [14] |
ARIAS-MONTA A, COELLO C A C, MEZURA-MONTES E.Multiobjective evolutionary algorithms in aeronautical and aerospace engineering[J].IEEE Transactions on Evolutionary Computation, 2012, 16(5):662-694. doi: 10.1109/TEVC.2011.2169968
|
| [15] |
DEB K.An efficient constraint-handling method for genetic algorithms[J].Computer Methods in Applied Mechanics & Engineering, 2000, 186(2-4):311-338.
|
Figures(4) / Tables(4)
Copyright © Journal of Beijing University of Aeronautics and Astronautics
Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@cqjj8.com
Supported by:
Beijing Renhe Information Technology Co., Ltd.
DownLoad:
