Reflection-based vision guide method for coarse alignment of vector measurement during the satellite assembly, integration, and test process
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Published:2023-09-05
Issue:26
Volume:62
Page:6916
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ISSN:1559-128X
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Container-title:Applied Optics
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language:en
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Short-container-title:Appl. Opt.
Author:
Yang Mao1,
Pan Hengle2,
Yang Huaqiang3,
Yin Liang3,
Yu Chengyi1,
Cao Xianfeng4
Affiliation:
1. Shanghai Institute of Technology
2. Changde Tobacco Machinery CO., LTD.
3. China Tobacco Hubei industrial LLC
4. LTD Process Research Institution
Abstract
Vector measurement is a vital measurement item during the satellite assembly, integration, and test (AIT) process. With the increasing popularity of commercial spaceflight, the development cycle of a satellite is shorter, and the number of satellites has been growing rapidly. The traditional on-site vector measurement method is inefficient and significantly affects the development cycle of the satellite. Therefore, it is of utter importance to propose an online high-precision automatic vector measurement system. The most challenging step of the online automatic vector measurement is coarse alignment because a cubic prism must be identified, and the normal direction of its surface must be calculated at a certain precision in the unstructured environment during the coarse alignment step. A reflection-based vision guide method was proposed to identify and calculate the normal direction of the cubic prism. The working principle and advantage of the proposed vision guide system were described in detail. What is more, the calibration and calculation methods of the proposed vision guide system were also presented. Finally, experiments were conducted to verify the effectiveness of the proposed method.
Funder
Shanghai Rising-Star Program
Defense Industrial Technology Development Program
National Natural Science Foundation of China
Natural Science Foundation of Shanghai
Publisher
Optica Publishing Group
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering