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Adam SPGD algorithm in freeform surface in-process interferometry

Wu, Jinling and Hu, Chengwen and Liu, Renhu and Wu, Shengyang and Cao, Jiaquan and Cheng, Zhongtao and Yu, Benli and Zhang, Lei (2022) Adam SPGD algorithm in freeform surface in-process interferometry. Optics Express, 30 (18). pp. 32528-32539. ISSN 1094-4087. doi:10.1364/oe.470007. https://resolver.caltech.edu/CaltechAUTHORS:20220919-711894900

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Abstract

The adaptive interferometer has been recently proposed to realize the metrology of unknown freeform surfaces with several restructured algorithms for feedback control. The adaptive moment estimation (Adam) stochastic parallel gradient descent (SPGD) algorithm is employed in this paper for fringes release. The proposed algorithm makes considerable progress in relieving conflict of the convergence rate, speed, and parameters intervention. Simulations and experiments show its 37% time saving and 99% convergence rate, with arbitrarily configured parameter increment, compared with the SPGD algorithm. It would have great potential in in-process tests in freeform surface fabrication or large-volume testing.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1364/OE.470007DOIArticle
ORCID:
AuthorORCID
Cheng, Zhongtao0000-0002-9862-2873
Yu, Benli0000-0002-0400-4469
Zhang, Lei0000-0001-9031-4318
Additional Information:Funding: National Natural Science Foundation of China (61705002).
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China61705002
Issue or Number:18
DOI:10.1364/oe.470007
Record Number:CaltechAUTHORS:20220919-711894900
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220919-711894900
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117083
Collection:CaltechAUTHORS
Deposited By: Melissa Ray
Deposited On:23 Sep 2022 22:12
Last Modified:23 Sep 2022 22:12

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