ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Mathematical model for spacesuit joint torque
Received date: 2014-04-15
Revised date: 2014-08-21
Online published: 2015-03-31
Supported by
Aerospace Science and Technology Innovation Fund
The mathematical model of spacesuit joint torque makes a significant disparity in the prediction of extra-vehicular activity (EVA) task intensity, fatigue estimation of astronaut and planning EVA route. Firstly, the hysteresis of joint torque is analyzed and the requirement of the joint torque model application is stated. The Jiles-Atherton hysteresis model, as well as the relevance with hysteresis property of joint torque, is detailed. Then the simulated annealing is adopted to improve the genetic algorithm, which is realized by MATLAB. Finally, the mathematical models of the EVA spacesuit wrist joint torque and shoulder joint torque are simulated. The consequence of simulation elucidates that the mathematical model of spacesuit joint torque is feasible. What is more, the mathematical model of spacesuit joint torque will have a wide application in the research of spacesuit ergonomic and other fields.
ZHANG Xinjun , LI Tanqiu , ZHANG Wanxin , LI Yuanfeng . Mathematical model for spacesuit joint torque[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(3) : 865 -871 . DOI: 10.7527/S1000-6893.2014.0196
[1] Chen J S, Li T Q, Bian J M, et al. Spacesuit engineering[M]. Beijing: National Defense Industry Press, 2002: 1-23 (in Chinese). 陈景山, 李潭秋, 边晋梅, 等. 航天服工程[M]. 北京: 国防工业出版社, 2002: 1-23.
[2] Li T Q. Foreign information of manned space flight medico-engineering key technology monographic study. First episode: EVA spacesuit system[M]. Beijing: Institute of Space Medico-Engineering, 2001: 25-37 (in Chinese). 李潭秋. 国外中长期载人航天医学工程关键技术信息研究专题资料: 第一集 出舱航天服及其系统[M]. 北京: 航天医学工程研究所, 2001: 25-37.
[3] Matty J. Results and analysis from space suit joint torque testing, AIAA-2010-6211[R]. Reston: AIAA, 2010.
[4] Wen J. Research on key technologies of space suit mobility for EVA operation[D]. Beijing: Beijing Jiaotong University, 2011 (in Chinese). 文剑. 舱外航天服活动性能关键技术研究[D]. 北京: 北京交通大学, 2011.
[5] Schmidt P B. An investigation of space suit mobility with applications to EVA operations[D]. Cambridge: Massachusetts Institute of Technology, 2001.
[6] Schmidt P B, Newman D J, Hodgson E. Modeling space suit mobility: applications to design and operations[R]. Michigan: Society of Automotive Engineers, 2001.
[7] Newman D J, Schmide P B, Rahn D B, et al. Modeling the extravehicular mobility unit (EMU) space suit: physiological implications for extravehicular activity (EVA)[C]//International Conference on Environmental Systems, Toulouse. 2000: 10-13.
[8] Mayergoyz I D. The classical preisach model of hysteresis[M]. New York: Springer, 1991: 1-24.
[9] Visintin A. Differential models of hysteresis[M]. Berlin: Springer, 1994: 297-377.
[10] Jiles D C, Atherton D L. Theory of ferromagnetic hysteresis[J]. Journal of Magnetism and Magnetic Materials, 1986, 61(1): 48-60.
[11] Leite J V, Avila S L, Batistela N J, et al. Real coded genetic algorithm for Jiles-Atherton model parameters identification[J]. IEEE Transactions on Magnetics, 2004, 40(2): 888-891.
[12] Goldberg D E. Genetic algorithms in search, optimization, and machine learning[M]. Reading Menlo Park: Addison-Wesley, 1989: 5-14.
[13] Holland J H. Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence[M]. Michigan: University of Michigan Press, 1975: 45-63.
[14] Kirkpatrick S. Optimization by simulated annealing: quantitative studies[J]. Journal of Statistical Physics, 1984, 34(5-6): 975-986.
[15] Xu D J, Liu M K, Shen F, et al. Fast DGPS integer ambiguity resolution using adaptive genetic algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(2): 371-377 (in Chinese). 徐定杰, 刘明凯, 沈锋, 等. 基于自适应遗传算法的 DGPS 整周模糊度快速解算[J]. 航空学报, 2013, 34(2): 371-377.
[16] An W G. Sructure optimization method based on a blending tapered model[J]. Chinese Journal of Aeronautics, 2013, 26(4): 943-947.
[17] Li Y Q, Wang R X, Xu M Q, et al. An improved genetic algorithm for a class of multi-resource range scheduling problem[J]. Journal of Astronautics, 2012, 33(1): 85-90 (in Chinese). 李玉庆, 王日新, 徐敏强, 等. 基于改进遗传算法的一类多资源测控调度问题研究[J]. 宇航学报, 2012, 33(1): 85-90.
[18] Mahfound S W, Goldberg D E. Parallel recombinative simulated annealing: a genetic algorithm[J]. Parallel Computing, 1995, 21(1): 1-28.
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