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Gyro-Free Inertial Navigation Systems Based on Linear Opto-Mechanical Accelerometers

High-sensitivity uniaxial opto-mechanical accelerometers provide very accurate linear acceleration measurements. In addition, an array of at least six accelerometers allows the estimation of linear and angular accelerations and becomes a gyro-free inertial navigation system. In this paper, we analyz...

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Autores principales: Sanjuan, Jose, Sinyukov, Alexander, Warrayat, Mohanad F., Guzman, Felipe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145187/
https://www.ncbi.nlm.nih.gov/pubmed/37112434
http://dx.doi.org/10.3390/s23084093
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author Sanjuan, Jose
Sinyukov, Alexander
Warrayat, Mohanad F.
Guzman, Felipe
author_facet Sanjuan, Jose
Sinyukov, Alexander
Warrayat, Mohanad F.
Guzman, Felipe
author_sort Sanjuan, Jose
collection PubMed
description High-sensitivity uniaxial opto-mechanical accelerometers provide very accurate linear acceleration measurements. In addition, an array of at least six accelerometers allows the estimation of linear and angular accelerations and becomes a gyro-free inertial navigation system. In this paper, we analyze the performance of such systems considering opto-mechanical accelerometers with different sensitivities and bandwidths. In the six-accelerometer configuration adopted here, the angular acceleration is estimated using a linear combination of accelerometers’ read-outs. The linear acceleration is estimated similarly but requires a correcting term that includes angular velocities. Accelerometers’ colored noise from experimental data is used to derive, analytically and through simulations, the performance of the inertial sensor. Results for six accelerometers, separated by 0.5 m in a cube configuration show noise levels of 10 [Formula: see text] m s [Formula: see text] and 10 [Formula: see text] m s [Formula: see text] (in Allan deviation) for time scales of one second for the low-frequency (Hz) and high-frequency (kHz) opto-mechanical accelerometers, respectively. The Allan deviation for the angular velocity at one second is [Formula: see text] rad s [Formula: see text] and [Formula: see text] rad s [Formula: see text]. Compared to other technologies such as MEMS-based inertial sensors and optical gyroscopes, the high-frequency opto-mechanical accelerometer exhibits better performance than tactical-grade MEMS for time scales shorter than 10 s. For angular velocity, it is only superior for time scales less than a few seconds. The linear acceleration of the low-frequency accelerometer outperforms the MEMS for time scales up to 300 s and for angular velocity only for a few seconds. Fiber optical gyroscopes are orders of magnitude better than the high- and low-frequency accelerometers in gyro-free configurations. However, when considering the theoretical thermal noise limit of the low-frequency opto-mechanical accelerometer, [Formula: see text] m s [Formula: see text] , linear acceleration noise is orders of magnitude lower than MEMS navigation systems. Angular velocity precision is around [Formula: see text] rad s [Formula: see text] at one second and [Formula: see text] rad s [Formula: see text] at one hour, which is comparable to fiber optical gyroscopes. While experimental validation is yet not available, the results shown here indicate the potential of opto-mechanical accelerometers as gyro-free inertial navigation sensors, provided the fundamental noise limit of the accelerometer is reached, and technical limitations such as misalignments and initial conditions errors are well controlled.
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spelling pubmed-101451872023-04-29 Gyro-Free Inertial Navigation Systems Based on Linear Opto-Mechanical Accelerometers Sanjuan, Jose Sinyukov, Alexander Warrayat, Mohanad F. Guzman, Felipe Sensors (Basel) Article High-sensitivity uniaxial opto-mechanical accelerometers provide very accurate linear acceleration measurements. In addition, an array of at least six accelerometers allows the estimation of linear and angular accelerations and becomes a gyro-free inertial navigation system. In this paper, we analyze the performance of such systems considering opto-mechanical accelerometers with different sensitivities and bandwidths. In the six-accelerometer configuration adopted here, the angular acceleration is estimated using a linear combination of accelerometers’ read-outs. The linear acceleration is estimated similarly but requires a correcting term that includes angular velocities. Accelerometers’ colored noise from experimental data is used to derive, analytically and through simulations, the performance of the inertial sensor. Results for six accelerometers, separated by 0.5 m in a cube configuration show noise levels of 10 [Formula: see text] m s [Formula: see text] and 10 [Formula: see text] m s [Formula: see text] (in Allan deviation) for time scales of one second for the low-frequency (Hz) and high-frequency (kHz) opto-mechanical accelerometers, respectively. The Allan deviation for the angular velocity at one second is [Formula: see text] rad s [Formula: see text] and [Formula: see text] rad s [Formula: see text]. Compared to other technologies such as MEMS-based inertial sensors and optical gyroscopes, the high-frequency opto-mechanical accelerometer exhibits better performance than tactical-grade MEMS for time scales shorter than 10 s. For angular velocity, it is only superior for time scales less than a few seconds. The linear acceleration of the low-frequency accelerometer outperforms the MEMS for time scales up to 300 s and for angular velocity only for a few seconds. Fiber optical gyroscopes are orders of magnitude better than the high- and low-frequency accelerometers in gyro-free configurations. However, when considering the theoretical thermal noise limit of the low-frequency opto-mechanical accelerometer, [Formula: see text] m s [Formula: see text] , linear acceleration noise is orders of magnitude lower than MEMS navigation systems. Angular velocity precision is around [Formula: see text] rad s [Formula: see text] at one second and [Formula: see text] rad s [Formula: see text] at one hour, which is comparable to fiber optical gyroscopes. While experimental validation is yet not available, the results shown here indicate the potential of opto-mechanical accelerometers as gyro-free inertial navigation sensors, provided the fundamental noise limit of the accelerometer is reached, and technical limitations such as misalignments and initial conditions errors are well controlled. MDPI 2023-04-19 /pmc/articles/PMC10145187/ /pubmed/37112434 http://dx.doi.org/10.3390/s23084093 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
Sanjuan, Jose
Sinyukov, Alexander
Warrayat, Mohanad F.
Guzman, Felipe
Gyro-Free Inertial Navigation Systems Based on Linear Opto-Mechanical Accelerometers
title Gyro-Free Inertial Navigation Systems Based on Linear Opto-Mechanical Accelerometers
title_full Gyro-Free Inertial Navigation Systems Based on Linear Opto-Mechanical Accelerometers
title_fullStr Gyro-Free Inertial Navigation Systems Based on Linear Opto-Mechanical Accelerometers
title_full_unstemmed Gyro-Free Inertial Navigation Systems Based on Linear Opto-Mechanical Accelerometers
title_short Gyro-Free Inertial Navigation Systems Based on Linear Opto-Mechanical Accelerometers
title_sort gyro-free inertial navigation systems based on linear opto-mechanical accelerometers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145187/
https://www.ncbi.nlm.nih.gov/pubmed/37112434
http://dx.doi.org/10.3390/s23084093
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