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13 November 2024 Research on mirror shape testing technology based on deep learning
Cong Wang, Jingwen Xu, Liqiang Yao, Jiayi Chen
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Proceedings Volume 13280, Advanced Optical Manufacturing Technologies and Applications 2024; and Fourth International Forum of Young Scientists on Advanced Optical Manufacturing (AOMTA and YSAOM 2024); 132800R (2024) https://doi.org/10.1117/12.3047644
Event: Second Conference on Advanced Optical Manufacturing Technologies and Applications & Fourth Forum of Young Scientists on Advanced Optical Manufacturing, 2024, Xi'an, China
Abstract
Research on reinforcement learning multi degree of freedom control system for shape testing of space camera mirror. Based on the optimization design of the perception control execution closed-loop intelligent testing system, reinforcement learning pose joint control training and testing are carried out based on the position information of the laser tracker and the misalignment information data of the laser interferometer. Complete automated testing experiments and validation. Improve the accuracy and efficiency of the testing process, reduce labor costs, and enhance the automation level of space camera installation and inspection.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Cong Wang, Jingwen Xu, Liqiang Yao, and Jiayi Chen "Research on mirror shape testing technology based on deep learning", Proc. SPIE 13280, Advanced Optical Manufacturing Technologies and Applications 2024; and Fourth International Forum of Young Scientists on Advanced Optical Manufacturing (AOMTA and YSAOM 2024), 132800R (13 November 2024); https://doi.org/10.1117/12.3047644
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KEYWORDS
Control systems
Intelligence systems
Data modeling
Education and training
Interferometers
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