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Enhancing long-term stability of photoacoustic gas sensor using an extremum-seeking control algorithm. / Bednyakova, Anastasia; Erushin, Evgenii; Miroshnichenko, Ilya et al.

In: Infrared Physics and Technology, Vol. 133, 104821, 09.2023.

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Bednyakova A, Erushin E, Miroshnichenko I, Kostyukova N, Boyko A, Redyuk A. Enhancing long-term stability of photoacoustic gas sensor using an extremum-seeking control algorithm. Infrared Physics and Technology. 2023 Sept;133:104821. doi: 10.1016/j.infrared.2023.104821

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BibTeX

@article{5af59e43baab449696f4f540f31519cc,
title = "Enhancing long-term stability of photoacoustic gas sensor using an extremum-seeking control algorithm",
abstract = "Smart sensor systems have gained increasing importance in various fields, including healthcare, environmental monitoring, industrial automation, and security. Photoacoustic gas sensors are an emerging type of optical sensor used in various applications due to its enhanced performance characteristics. However, the accuracy and reliability of gas concentration measurements from photoacoustic gas sensors may be impacted by several known limitations, including drift of the gas cell resonant frequency over extended periods of time. Researchers have proposed various solutions, including optimization methods and signal processing algorithms, to address this and others issues. In this paper, we propose a novel solution using an extremum-seeking control algorithm to manage the laser modulation frequency of photoacoustic gas sensors. By tracking the changing resonant frequency of the gas cell, long-term stability can be achieved, making it suitable for environmental monitoring, petroleum exploration, and industrial process control. Our approach has the potential to improve the accuracy and reliability of long-term measurements obtained from photoacoustic gas sensors, providing a stable and reliable method for gas concentration estimation.",
keywords = "Absorption, Concentration methane monitoring, Extremum-seeking control, Gas analysis, Gas sensing, Long-term stability, Optimization algorithm, Photoacoustics, Resonator frequency drift, Spectroscopy",
author = "Anastasia Bednyakova and Evgenii Erushin and Ilya Miroshnichenko and Nadezhda Kostyukova and Andrey Boyko and Alexey Redyuk",
note = "Funding: This research was funded by the Ministry of Science and Higher Education of the Russian Federation (Project No. FSUS-2021-0015). Experiments to study the dependence of the PAD resonant frequency on temperature were carried out with financial support from the Russian Science Foundation (Project 17-72-30006).",
year = "2023",
month = sep,
doi = "10.1016/j.infrared.2023.104821",
language = "English",
volume = "133",
journal = "Infrared Physics and Technology",
issn = "1350-4495",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Enhancing long-term stability of photoacoustic gas sensor using an extremum-seeking control algorithm

AU - Bednyakova, Anastasia

AU - Erushin, Evgenii

AU - Miroshnichenko, Ilya

AU - Kostyukova, Nadezhda

AU - Boyko, Andrey

AU - Redyuk, Alexey

N1 - Funding: This research was funded by the Ministry of Science and Higher Education of the Russian Federation (Project No. FSUS-2021-0015). Experiments to study the dependence of the PAD resonant frequency on temperature were carried out with financial support from the Russian Science Foundation (Project 17-72-30006).

PY - 2023/9

Y1 - 2023/9

N2 - Smart sensor systems have gained increasing importance in various fields, including healthcare, environmental monitoring, industrial automation, and security. Photoacoustic gas sensors are an emerging type of optical sensor used in various applications due to its enhanced performance characteristics. However, the accuracy and reliability of gas concentration measurements from photoacoustic gas sensors may be impacted by several known limitations, including drift of the gas cell resonant frequency over extended periods of time. Researchers have proposed various solutions, including optimization methods and signal processing algorithms, to address this and others issues. In this paper, we propose a novel solution using an extremum-seeking control algorithm to manage the laser modulation frequency of photoacoustic gas sensors. By tracking the changing resonant frequency of the gas cell, long-term stability can be achieved, making it suitable for environmental monitoring, petroleum exploration, and industrial process control. Our approach has the potential to improve the accuracy and reliability of long-term measurements obtained from photoacoustic gas sensors, providing a stable and reliable method for gas concentration estimation.

AB - Smart sensor systems have gained increasing importance in various fields, including healthcare, environmental monitoring, industrial automation, and security. Photoacoustic gas sensors are an emerging type of optical sensor used in various applications due to its enhanced performance characteristics. However, the accuracy and reliability of gas concentration measurements from photoacoustic gas sensors may be impacted by several known limitations, including drift of the gas cell resonant frequency over extended periods of time. Researchers have proposed various solutions, including optimization methods and signal processing algorithms, to address this and others issues. In this paper, we propose a novel solution using an extremum-seeking control algorithm to manage the laser modulation frequency of photoacoustic gas sensors. By tracking the changing resonant frequency of the gas cell, long-term stability can be achieved, making it suitable for environmental monitoring, petroleum exploration, and industrial process control. Our approach has the potential to improve the accuracy and reliability of long-term measurements obtained from photoacoustic gas sensors, providing a stable and reliable method for gas concentration estimation.

KW - Absorption

KW - Concentration methane monitoring

KW - Extremum-seeking control

KW - Gas analysis

KW - Gas sensing

KW - Long-term stability

KW - Optimization algorithm

KW - Photoacoustics

KW - Resonator frequency drift

KW - Spectroscopy

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85165993271&origin=inward&txGid=a58318b493a724ce912068ee923e2e77

UR - https://www.mendeley.com/catalogue/0eba0874-8597-3736-9018-fe0e7ef8772e/

U2 - 10.1016/j.infrared.2023.104821

DO - 10.1016/j.infrared.2023.104821

M3 - Article

VL - 133

JO - Infrared Physics and Technology

JF - Infrared Physics and Technology

SN - 1350-4495

M1 - 104821

ER -

ID: 54105862