An Approach of Vibration Compensation for Atomic Gravimeter under Complex Vibration Environment

Atomic gravimeter has been more frequently applied under complex and dynamic environments, but its measurement accuracy is seriously hampered by vibration-induced noise. In this case, vibration compensation provides a way to enhance the accuracy of gravity measurements by correcting the phase noise...

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Main Authors: Hao Che, An Li, Zhu Zhou, Wenbin Gong, Jinxiu Ma, Fangjun Qin
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/7/3535
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author Hao Che
An Li
Zhu Zhou
Wenbin Gong
Jinxiu Ma
Fangjun Qin
author_facet Hao Che
An Li
Zhu Zhou
Wenbin Gong
Jinxiu Ma
Fangjun Qin
author_sort Hao Che
collection DOAJ
description Atomic gravimeter has been more frequently applied under complex and dynamic environments, but its measurement accuracy is seriously hampered by vibration-induced noise. In this case, vibration compensation provides a way to enhance the accuracy of gravity measurements by correcting the phase noise that resulted from the vibration of a Raman reflector, and improving the fitting of an interference fringe. An accurate estimation of the transfer function of vibration between the Raman reflector and the sensor plays a significant role in optimizing the effect of vibration compensation. For this reason, a vibration compensation approach was explored based on EO (equilibrium optimizer) for estimating the transfer function simplified model of a Raman reflector, and it was used to correct the interference fringe of an atomic gravimeter. The test results revealed that this approach greatly restored the actual vibration of the Raman reflector in a complex vibration environment. With a vibration compensation algorithm, it achieved the correction and fitting of the original interference fringe. In general, it dramatically reduced the RMSE (root mean square error) at the time of fitting and significantly improved the residual error in the gravity measurement. Compared with other conventional algorithms, such as GA (genetic algorithm) and PSO (particle swarm optimization), this approach realized a faster convergence and better optimization, so as to ensure more accurate gravity measurements. The study of this vibration compensation approach could provide a reference for the application of an atomic gravimeter in a wider and more complex environment.
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spelling doaj.art-d722123b2c6445a38062c40eae8a633c2023-11-17T17:33:59ZengMDPI AGSensors1424-82202023-03-01237353510.3390/s23073535An Approach of Vibration Compensation for Atomic Gravimeter under Complex Vibration EnvironmentHao Che0An Li1Zhu Zhou2Wenbin Gong3Jinxiu Ma4Fangjun Qin5School of Electrical Engineering, Naval University of Engineering, No.717 Jiefang Road, Wuhan 430033, ChinaSchool of Electrical Engineering, Naval University of Engineering, No.717 Jiefang Road, Wuhan 430033, ChinaSchool of Electrical Engineering, Naval University of Engineering, No.717 Jiefang Road, Wuhan 430033, ChinaSchool of Electrical Engineering, Naval University of Engineering, No.717 Jiefang Road, Wuhan 430033, ChinaSchool of Electrical Engineering, Naval University of Engineering, No.717 Jiefang Road, Wuhan 430033, ChinaSchool of Electrical Engineering, Naval University of Engineering, No.717 Jiefang Road, Wuhan 430033, ChinaAtomic gravimeter has been more frequently applied under complex and dynamic environments, but its measurement accuracy is seriously hampered by vibration-induced noise. In this case, vibration compensation provides a way to enhance the accuracy of gravity measurements by correcting the phase noise that resulted from the vibration of a Raman reflector, and improving the fitting of an interference fringe. An accurate estimation of the transfer function of vibration between the Raman reflector and the sensor plays a significant role in optimizing the effect of vibration compensation. For this reason, a vibration compensation approach was explored based on EO (equilibrium optimizer) for estimating the transfer function simplified model of a Raman reflector, and it was used to correct the interference fringe of an atomic gravimeter. The test results revealed that this approach greatly restored the actual vibration of the Raman reflector in a complex vibration environment. With a vibration compensation algorithm, it achieved the correction and fitting of the original interference fringe. In general, it dramatically reduced the RMSE (root mean square error) at the time of fitting and significantly improved the residual error in the gravity measurement. Compared with other conventional algorithms, such as GA (genetic algorithm) and PSO (particle swarm optimization), this approach realized a faster convergence and better optimization, so as to ensure more accurate gravity measurements. The study of this vibration compensation approach could provide a reference for the application of an atomic gravimeter in a wider and more complex environment.https://www.mdpi.com/1424-8220/23/7/3535atomic gravimetervibration compensationtransfer functionequilibrium optimizer algorithm
spellingShingle Hao Che
An Li
Zhu Zhou
Wenbin Gong
Jinxiu Ma
Fangjun Qin
An Approach of Vibration Compensation for Atomic Gravimeter under Complex Vibration Environment
Sensors
atomic gravimeter
vibration compensation
transfer function
equilibrium optimizer algorithm
title An Approach of Vibration Compensation for Atomic Gravimeter under Complex Vibration Environment
title_full An Approach of Vibration Compensation for Atomic Gravimeter under Complex Vibration Environment
title_fullStr An Approach of Vibration Compensation for Atomic Gravimeter under Complex Vibration Environment
title_full_unstemmed An Approach of Vibration Compensation for Atomic Gravimeter under Complex Vibration Environment
title_short An Approach of Vibration Compensation for Atomic Gravimeter under Complex Vibration Environment
title_sort approach of vibration compensation for atomic gravimeter under complex vibration environment
topic atomic gravimeter
vibration compensation
transfer function
equilibrium optimizer algorithm
url https://www.mdpi.com/1424-8220/23/7/3535
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