Optics and Precision Engineering, Volume. 31, Issue 22, 3305(2023)

Design and analysis of deployment mechanism for solid surface deployment antenna

Hao LI1...2,*, Xiaofei MA1, Tonglong HUO1, Huanxiao LI1 and Di WU1 |Show fewer author(s)
Author Affiliations
  • 1Xi’an Institute of Space Radio Technology, Xi'an7000, China
  • 2School of Mechano-Electronic Engineering, Xidian University, Xi'an710071, China
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    This study designs a deployment mechanism based on the Bennett mechanism to address the synchronization and reliability issues of solid surface deployment antennas (SSDAs) caused by independent rotation around two axes. First, a position determination algorithm for the antenna petal based on a particle swarm optimization algorithm is proposed. Combined with the axis-angle theorem, the parameters of uniaxial deployment are obtained, and the deployment mechanism based on the Bennett mechanism is designed. Furthermore, the design scheme of the petal frame is proposed with topology optimization methods based on the motion trajectories of adjacent petals. The analysis results show that the design frame can reduce the reflector deformation by 62.5% and enhance the fundamental frequency by four times, which fully proves the effectiveness of the frame design. Using a 10 m aperture SSDA as an example, the deployment mechanism is established, whereas the kinematic and dynamic parameters during the deployment process are analyzed. The deployment mechanism is further derived into a non-overconstrained mechanism by introducing negative kinematic pairs. The results show that the deployment process of SSDA is stable and reliable; the package ratio reaches 0.384. The research methods and conclusions in this study provide technical references for the design of SSDA.

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    Hao LI, Xiaofei MA, Tonglong HUO, Huanxiao LI, Di WU. Design and analysis of deployment mechanism for solid surface deployment antenna[J]. Optics and Precision Engineering, 2023, 31(22): 3305

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    Paper Information

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    Received: Jun. 13, 2023

    Accepted: --

    Published Online: Dec. 29, 2023

    The Author Email: LI Hao (lh651628333@stu.xjtu.edu.cn)

    DOI:10.37188/OPE.20233122.3305

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