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Performance Improvement of Single-Frequency CW Laser Using a Temperature Controller Based on Machine Learning

The performance improvement of an all-solid-state single-frequency continuous-wave (CW) laser with high output power is presented in this paper, which is implemented by employing a temperature control system based on machine learning to control the temperature of laser elements including gain crysta...

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Detalles Bibliográficos
Autores principales: Qiao, Haoming, Peng, Weina, Jin, Pixian, Su, Jing, Lu, Huadong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317008/
https://www.ncbi.nlm.nih.gov/pubmed/35888864
http://dx.doi.org/10.3390/mi13071047
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author Qiao, Haoming
Peng, Weina
Jin, Pixian
Su, Jing
Lu, Huadong
author_facet Qiao, Haoming
Peng, Weina
Jin, Pixian
Su, Jing
Lu, Huadong
author_sort Qiao, Haoming
collection PubMed
description The performance improvement of an all-solid-state single-frequency continuous-wave (CW) laser with high output power is presented in this paper, which is implemented by employing a temperature control system based on machine learning to control the temperature of laser elements including gain crystal, laser diode and so on. Because the developed temperature controller based on machine learning combines the back propagation (BP) neural network algorithm with the proportion-integration-differentiation (PID) control algorithm, the parameters of the PID are adaptive with the variation of the environment. As a result, the control speeds and control abilities of the temperatures of the elements are dramatically enhanced. In this case, the output characteristic and the adaptability to the environment as well as the stability of the single-frequency CW laser are also improved greatly.
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spelling pubmed-93170082022-07-27 Performance Improvement of Single-Frequency CW Laser Using a Temperature Controller Based on Machine Learning Qiao, Haoming Peng, Weina Jin, Pixian Su, Jing Lu, Huadong Micromachines (Basel) Article The performance improvement of an all-solid-state single-frequency continuous-wave (CW) laser with high output power is presented in this paper, which is implemented by employing a temperature control system based on machine learning to control the temperature of laser elements including gain crystal, laser diode and so on. Because the developed temperature controller based on machine learning combines the back propagation (BP) neural network algorithm with the proportion-integration-differentiation (PID) control algorithm, the parameters of the PID are adaptive with the variation of the environment. As a result, the control speeds and control abilities of the temperatures of the elements are dramatically enhanced. In this case, the output characteristic and the adaptability to the environment as well as the stability of the single-frequency CW laser are also improved greatly. MDPI 2022-06-30 /pmc/articles/PMC9317008/ /pubmed/35888864 http://dx.doi.org/10.3390/mi13071047 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qiao, Haoming
Peng, Weina
Jin, Pixian
Su, Jing
Lu, Huadong
Performance Improvement of Single-Frequency CW Laser Using a Temperature Controller Based on Machine Learning
title Performance Improvement of Single-Frequency CW Laser Using a Temperature Controller Based on Machine Learning
title_full Performance Improvement of Single-Frequency CW Laser Using a Temperature Controller Based on Machine Learning
title_fullStr Performance Improvement of Single-Frequency CW Laser Using a Temperature Controller Based on Machine Learning
title_full_unstemmed Performance Improvement of Single-Frequency CW Laser Using a Temperature Controller Based on Machine Learning
title_short Performance Improvement of Single-Frequency CW Laser Using a Temperature Controller Based on Machine Learning
title_sort performance improvement of single-frequency cw laser using a temperature controller based on machine learning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317008/
https://www.ncbi.nlm.nih.gov/pubmed/35888864
http://dx.doi.org/10.3390/mi13071047
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