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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6164721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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