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Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments

In the space gravitational wave detection mission, inertial sensors play the role of providing an inertial reference for the laser interferometric measurement system. Among them, the capacitance sensor serves as the core key technology of the inertial sensor, used to measure the relative position of...

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Detalles Bibliográficos
Autores principales: Xue, Ke, Yu, Tao, Sui, Yanlin, Chen, Yongkun, Wang, Longqi, Wang, Zhi, Zhou, Jun, Chen, Yuzhu, Liu, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674739/
https://www.ncbi.nlm.nih.gov/pubmed/38005532
http://dx.doi.org/10.3390/s23229144
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author Xue, Ke
Yu, Tao
Sui, Yanlin
Chen, Yongkun
Wang, Longqi
Wang, Zhi
Zhou, Jun
Chen, Yuzhu
Liu, Xin
author_facet Xue, Ke
Yu, Tao
Sui, Yanlin
Chen, Yongkun
Wang, Longqi
Wang, Zhi
Zhou, Jun
Chen, Yuzhu
Liu, Xin
author_sort Xue, Ke
collection PubMed
description In the space gravitational wave detection mission, inertial sensors play the role of providing an inertial reference for the laser interferometric measurement system. Among them, the capacitance sensor serves as the core key technology of the inertial sensor, used to measure the relative position of the test mass (TM) in the electrode cage. The capacitance sensor utilizes synchronous demodulation technology to extract signals from the AC induction signal. When the phase of the demodulation switch signal is aligned, the synchronous demodulator can most effectively filter out noise, thus directly influencing the performance of the capacitance sensor. However, since the TM is in a suspended state, the information read by the capacitance sensor is dynamic, which increases the difficulty of demodulation phase alignment. In light of this, a method is proposed for achieving the phase alignment of the demodulation switch signal in a dynamic environment. This is accomplished by adjusting the phase of the demodulation switch signal, and subsequently computing the phase difference between the AC induction signal and the demodulation switch signal. At the same time, a measurement and evaluation method for phase deviation is also proposed. Ultimately, an automatic phase alignment system for the demodulation switch signal in dynamic environments is successfully implemented on an FPGA platform, and tests are conducted on a hexapod PI console platform to simulate dynamic environments. The experimental results demonstrate that the system accurately achieves phase alignment in the static environment, with a phase deviation of 0.1394 rad. In the simulated dynamic environment, the phase deviation is 0.1395 rad.
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spelling pubmed-106747392023-11-13 Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments Xue, Ke Yu, Tao Sui, Yanlin Chen, Yongkun Wang, Longqi Wang, Zhi Zhou, Jun Chen, Yuzhu Liu, Xin Sensors (Basel) Article In the space gravitational wave detection mission, inertial sensors play the role of providing an inertial reference for the laser interferometric measurement system. Among them, the capacitance sensor serves as the core key technology of the inertial sensor, used to measure the relative position of the test mass (TM) in the electrode cage. The capacitance sensor utilizes synchronous demodulation technology to extract signals from the AC induction signal. When the phase of the demodulation switch signal is aligned, the synchronous demodulator can most effectively filter out noise, thus directly influencing the performance of the capacitance sensor. However, since the TM is in a suspended state, the information read by the capacitance sensor is dynamic, which increases the difficulty of demodulation phase alignment. In light of this, a method is proposed for achieving the phase alignment of the demodulation switch signal in a dynamic environment. This is accomplished by adjusting the phase of the demodulation switch signal, and subsequently computing the phase difference between the AC induction signal and the demodulation switch signal. At the same time, a measurement and evaluation method for phase deviation is also proposed. Ultimately, an automatic phase alignment system for the demodulation switch signal in dynamic environments is successfully implemented on an FPGA platform, and tests are conducted on a hexapod PI console platform to simulate dynamic environments. The experimental results demonstrate that the system accurately achieves phase alignment in the static environment, with a phase deviation of 0.1394 rad. In the simulated dynamic environment, the phase deviation is 0.1395 rad. MDPI 2023-11-13 /pmc/articles/PMC10674739/ /pubmed/38005532 http://dx.doi.org/10.3390/s23229144 Text en © 2023 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
Xue, Ke
Yu, Tao
Sui, Yanlin
Chen, Yongkun
Wang, Longqi
Wang, Zhi
Zhou, Jun
Chen, Yuzhu
Liu, Xin
Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments
title Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments
title_full Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments
title_fullStr Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments
title_full_unstemmed Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments
title_short Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments
title_sort research and implementation of a demodulation switch signal phase alignment system in dynamic environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674739/
https://www.ncbi.nlm.nih.gov/pubmed/38005532
http://dx.doi.org/10.3390/s23229144
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