Research output: Contribution to journal › Article › peer-review
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.Research output: Contribution to journal › Article › peer-review
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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