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Analysis and Self-Calibration Method for Asynchrony between Sensors in Rotation INS

The gyroscope, accelerometer and angular encoder are the most important components in a dual-axis rotation inertial navigation system (RINS). However, there are asynchronies among the sensors, which will thus lead to navigation errors. The impact of asynchrony between the gyroscope and angular encod...

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Detalles Bibliográficos
Autores principales: Sui, Jie, Wang, Lei, Huang, Tao, Zhou, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164721/
https://www.ncbi.nlm.nih.gov/pubmed/30177629
http://dx.doi.org/10.3390/s18092921
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author Sui, Jie
Wang, Lei
Huang, Tao
Zhou, Qi
author_facet Sui, Jie
Wang, Lei
Huang, Tao
Zhou, Qi
author_sort Sui, Jie
collection PubMed
description The gyroscope, accelerometer and angular encoder are the most important components in a dual-axis rotation inertial navigation system (RINS). However, there are asynchronies among the sensors, which will thus lead to navigation errors. The impact of asynchrony between the gyroscope and angular encoder on the azimuth error and the impact of asynchrony between the gyroscope and accelerometer on the velocity error are analyzed in this paper. A self-calibration method based on navigation errors is proposed based on the analysis above. Experiments show that azimuth and velocity accuracy can be improved by compensating the asynchronies.
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spelling pubmed-61647212018-10-10 Analysis and Self-Calibration Method for Asynchrony between Sensors in Rotation INS Sui, Jie Wang, Lei Huang, Tao Zhou, Qi Sensors (Basel) Article The gyroscope, accelerometer and angular encoder are the most important components in a dual-axis rotation inertial navigation system (RINS). However, there are asynchronies among the sensors, which will thus lead to navigation errors. The impact of asynchrony between the gyroscope and angular encoder on the azimuth error and the impact of asynchrony between the gyroscope and accelerometer on the velocity error are analyzed in this paper. A self-calibration method based on navigation errors is proposed based on the analysis above. Experiments show that azimuth and velocity accuracy can be improved by compensating the asynchronies. MDPI 2018-09-03 /pmc/articles/PMC6164721/ /pubmed/30177629 http://dx.doi.org/10.3390/s18092921 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sui, Jie
Wang, Lei
Huang, Tao
Zhou, Qi
Analysis and Self-Calibration Method for Asynchrony between Sensors in Rotation INS
title Analysis and Self-Calibration Method for Asynchrony between Sensors in Rotation INS
title_full Analysis and Self-Calibration Method for Asynchrony between Sensors in Rotation INS
title_fullStr Analysis and Self-Calibration Method for Asynchrony between Sensors in Rotation INS
title_full_unstemmed Analysis and Self-Calibration Method for Asynchrony between Sensors in Rotation INS
title_short Analysis and Self-Calibration Method for Asynchrony between Sensors in Rotation INS
title_sort analysis and self-calibration method for asynchrony between sensors in rotation ins
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164721/
https://www.ncbi.nlm.nih.gov/pubmed/30177629
http://dx.doi.org/10.3390/s18092921
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