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ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

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Research Article

Research on Orbit Assembly Strategy of Large-scale Space Truss Structure

Author(s): Ye Dai, Chao-Fang Xiang, Yu-Dong Bao*, Yun-Shan Qi, Wen-Yin Qu and Qi-Hao Zhang

Volume 17, Issue 1, 2023

Published on: 26 January, 2022

Article ID: e301221199672 Pages: 14

DOI: 10.2174/1872212116666211230121623

Price: $65

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Abstract

Background: With the rapid development of spatial technology and mankind's continuous exploration of the space domain, expandable space trusses play an important role in the construction of space station piggyback platforms. Therefore, the study of the in-orbit assembly strategy for space trusses has become increasingly important in recent years. The spatial truss assembly strategy proposed in this paper is fast and effective, and it is applied for the construction of future large-scale space facilities effectively.

Objective: The four-prismatic truss periodic module is taken as the research object, and the assembly process of the truss and the assembly behaviors of the spatial cellular robot serving for on-orbit assembly are expressed.

Methods: The article uses a reinforcement learning algorithm to study the coupling of truss assembly sequence and robot action sequence, then uses a q-learning algorithm to plan the strategy of the truss cycle module.

Results: The robot is trained through the greedy strategy and avoids the failure problem caused by assembly uncertainty. The simulation experiment proves that the Q-learning algorithm of reinforcement learning used for planning the on-orbit assembly sequence of the truss periodic module structures is feasible, and the optimal assembly sequence with the least number of assembly steps obtained by this strategy.

Conclusion: In order to address the on-orbit assembly issues of large spatial truss structures in the space environment, we trained the robots through greedy strategy to prevent failure due to the uncertainty conditions both in the strategy analysis and in the simulation study. Finally, the Q-learning algorithm in reinforcement learning is used to plan the on-orbit assembly sequence in the truss cycle module, which can obtain the optimal assembly sequence in the minimum number of assembly steps.

Keywords: Space truss, spatial cellular robot, four-prismatic truss on-orbit assembly, reinforcement learning, Q-learning algorithm.

Graphical Abstract

[1]
J.J. Watson, T.J. Collins, and H.G. Bush, "A history of astronaut construction of large space structures at NASA Langley Research Center", Proceedings of the IEEE Aerospace Conference, 2002 Montana, MT, USA, 2002.
[http://dx.doi.org/10.1109/AERO.2002.1035334]
[2]
J.F. Guo, P. Wang, and N.G. Cui, "Development of on-orbit assembly technology for large space structures", Missile Space Carrier Vehi-cles, vol. 03, pp. 28-35, 2006.
[3]
P. Wang, Z.W. Zhang, H.T. Luo, and Z.Y. Wang, "Analysis and experimental research on damping and vibration reduction of space truss composite structure", Machin. Des. Manufact, no. 06, pp. 121-124, 2020.
[4]
X.F. Shen, L.B. Zeng, and Y.Q. Jin, "Research status and development trend of on-orbit assembly technology", Zairen Hangtian, vol. 23, no. 2, pp. 228-235, 2017.
[5]
C. Jiang, K. Zhang, and M. Yu, "Research on truss assembly sequence planning based on heuristic cut set method", Machinery, vol. 47, no. 05, pp. 12-17, 2020.
[6]
X.R. Kong, "Trajectory planning and kinematics simulation analysis of quadruped robot., PhD thesis, North China University of Water Resources and Electric Power, China,2017",
[7]
N.G. Cui, P. Wang, J.F. Guo, and X. Cheng, "Summary of the development of space on-orbit service technology", J. Astronaut., vol. 4, pp. 805-811, 2007.
[8]
T.J. Li, X.F. Ma, and Y. Hua, "On-orbit assembly technology of large space antenna", Zairen Hangtian, vol. 01, pp. 90-94, 2013.
[9]
NASA, On-orbit satellite servicing study, project report., National Aeronautics and Space Administration Goddard Space Flight Center, 2010.
[10]
D.C. Alhorn, "Alhorn, Autonomous assembly of modular structures in space and on extraterrestrial locations", AIP Conf. Proc. Am. Inst. Phys., vol. 746, pp. 1121-1128, 2005.
[http://dx.doi.org/10.1063/1.1867238]
[11]
R. Will, M. Rhodes, and W.R. Doggett, An automated assembly system for large space structures.Intelligent Robotic Systems For Space Exploration., The ACM Digital Library, 1992, pp. 39-110.
[http://dx.doi.org/10.1007/978-1-4615-3634-5_2]
[12]
C.G. Henshaw, "The DARPA phoenix spacecraft servicing program: Overview and plans for risk reduction", In Proceedings of the Interna-tional Symposium on Artificial Intelligence and Robotics & Automation in Space Orlando, Florida, USA, 2014.
[13]
P. Wang, Research on the motion planning of close-range operation of space autonomous service spacecraft in orbit., Harbin Institute of Technology: Heilongjiang, China, 2010.
[14]
B.Y. Liu, "Research on longitudinal motion control method of under-actuated spherical robot., PhD thesis, Dalian University of Technology, Dalian, China,2013",
[15]
C. Valle, R. Gasca, and M. Toro, "A genetic algorithm for assembly sequence planning", In: International Work Conference on Artificial Neural Networks, 2003 Menorca, Spain, 2003.
[http://dx.doi.org/10.1007/3-540-44869-1_43]
[16]
H.E. Tseng, J.D. Li, and Y.H. Chang, ""Connector-based approach to assembly planning using a genetic algorithm",", Int. J. Prod. Res., vol. 42, pp. 2243-2261, 2004.
[http://dx.doi.org/10.1080/0020754042000203894]
[17]
C.P. Chen, and Y.H. Pao, "An integration of neural network and rule-based systems for design and planning of mechanical assemblies", IEEE Trans. Syst. Man Cybern., vol. 23, pp. 1359-1371, 1993.
[http://dx.doi.org/10.1109/21.260667]
[18]
D.S. Hong, and H.S. Cho, "Optimization of robotic assembly sequences using neural network", In: IEEE/RSJ International Conference on Intelligent Robots and Systems’93, Yokohama, Japan, 1993.
[http://dx.doi.org/10.1109/IROS.1993.583103,1993]
[19]
J.M. Milner, S.C. Graves, and D.E. Whitney, "Using simulated annealing to select least cost assembly sequences", In IEEE International Conference on Robotics and Automation San Diego, CA, USA, 1994.
[http://dx.doi.org/10.1109/ROBOT.1994.351161]
[20]
H.R. Lee, and D.D. Gemmill, "Improved methods of assembly sequence determination for automatic assembly systems", Eur. J. Oper. Res., vol. 131, pp. 611-621, 2001.
[http://dx.doi.org/10.1016/S0377-2217(00)00103-X]
[21]
T. Chen, H. Wen, H.Y. Hu, and D.P. Jin, "On-orbit assembly of a team of flexible spacecraft using potential field based method", Acta Astronaut., vol. 133, pp. 221-232, 2017.
[http://dx.doi.org/10.1016/j.actaastro.2017.01.021]
[22]
J.F. Guo, P. Wang, and N.G. Cui, "Layered planning method for assembly sequence of large space truss structure", J. Mechanical Eng., vol. 03, pp. 350-353, 2008.
[23]
X.Y. Liu, E.F. Liu, and J.Y. Jin, "Asynchronous parallel assembly sequence planning method based on ant colony algorithm", J. Mechan-ical Eng., vol. 01, pp. 1-13, 2019.
[http://dx.doi.org/10.3901/JME.2019.10.001]
[24]
B. van Sosin, D. Rodin, H. Sliusarenko, M. Bartoň, and G. Elber, "The construction of conforming-to-shape truss lattice structures via 3D sphere packing", Comput. Aided Des., vol. 132, p. 102962, 2021.
[http://dx.doi.org/10.1016/j.cad.2020.102962]
[25]
F. Nazzi, "The hexagonal shape of the honeycomb cells depends on the construction behavior of bees", Sci. Rep., vol. 6, p. 28341, 2016.
[http://dx.doi.org/10.1038/srep28341] [PMID: 27320492]
[26]
Y.N. Cui, "The history of the development of space on-orbit assembly technology in the United States., PhD thesis, Harbin Normal University, Harbin, China,2012",
[27]
W.Q. Wang, C.M. Ye, and X.J. Tan, "Job shop dynamic scheduling based on Q learning algorithm", Comput. Syst. Appl., vol. 29, no. 11, pp. 218-226, 2020.
[28]
F. Zheng, M. Chen, and W. Li, "Conceptual Design of a New Huge Deployable Antenna Structure for Space Application", In: Proceedings of the IEEE Aerospace Conference Big Sky, MT, USA, 2018.
[http://dx.doi.org/10.1109/AERO.2008.4526312,2018]
[29]
J. Nguyen, S.I. Park, D.W. Rosen, L. Folgar, and J. Williams, "Conformal lattice structure design and fabrication", In: Solid Freeform Fabrication Symposium, 2012, pp. 138-161. Austin, TX
[30]
L. Gil, and A. Andreu, "Shape and cross-section optimisation of a truss structure", Comput. Struc., vol. 79, no. 7, pp. 681-689, 2001.
[http://dx.doi.org/10.1016/S0045-7949(00)00182-6]
[31]
X. Wang, S.Q. Li, C.H. Wang, M. Chen, and J. Wang, "Robotic dual-arm compliant assembly of space truss members and ball joints", Zairen Hangtian, vol. 26, no. 06, pp. 741-750, 2020.
[32]
Y. Dai, Z.X. Liu, Y.S. Qi, H.B. Zhang, B.D. You, and Y.F. Gao, "Spatial cellular robot in orbital truss collision-free path planning", Mech. Sci., vol. 11, pp. 233-250, 2020.
[http://dx.doi.org/10.5194/ms-11-233-2020]
[33]
Z.W. Ren, M. Pang, and Y.H. Zhu, "Research on reconfiguration motion planning strategy of reconfigurable robot", J. Huazhong Univ. Sci. Technol., vol. 39, no. 4, pp. 10-14, 2011.
[34]
D.S. Jiang, "Research on self-reconfigurable modular robot for selfrepair of space solar array., PhD thesis, Shanghai Jiaotong University, China, Shanghai,2011",
[35]
Y. Lu, "Research on the development history of space on-orbit assembly technology., PhD thesis, Harbin Institute of Technology, Harbin, China,2011",
[36]
S. Chen, "Research on the Self-reconfiguration Process of Space Cell Robot., PhD thesis, Harbin Institute of Technology, Harbin, China,2017",
[37]
D.X. An, "Research on Space Cell Robot System., PhD thesis, Harbin Institute of Technology, Harbin, China,2016",
[38]
J.M. Hollerbach, "Optimum optimal kinematic design for a seven degree of freedom manipulator", In International Symposium of Robotics Research, 1985, pp. 215-222
[39]
B. Waschneck, A. Reichstaller, and L. Belzner, "Optimization of global production scheduling with deep reinforcement learning", In Proc. CIRP, vol. vol. 72, 2018, pp. 1264-1269
[http://dx.doi.org/10.1016/j.procir.2018.03.212]
[40]
Z.Z. Shi, "Breaking through the limits of machine learning", Chin. Sci. Bull., vol. 61, no. 33, pp. 3548-3556, 2016.
[http://dx.doi.org/10.1360/N972016-00741]
[41]
R.X. Li, ""Improved Q-learning based route planning method for UAVs in unknown environment"", In 15th International Conference on Control and Automation (ICCA), Edinburgh, UK, 2019.
[http://dx.doi.org/10.1109/ICCA.2019.8899478]
[42]
P.C. Ding, "Research on assembly strategy of manipulator shaft hole based on reinforcement learning., PhD thesis, Harbin Institute of Technology, Harbin, China, 2020",

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