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Removal of the rate table: MEMS gyrocompass with virtual maytagging
High-performance micro-electro-mechanical system (MEMS) gyrocompasses for north-finding systems have been very popular for decades. In this paper, a MEMS north-finding system (NFS) based on virtual maytagging (VM) is presented for the first time. In stark contrast to previous schemes of MEMS-based N...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628254/ https://www.ncbi.nlm.nih.gov/pubmed/37941763 http://dx.doi.org/10.1038/s41378-023-00610-3 |
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author | Miao, Tongqiao Li, Qingsong Chen, Liangqian Li, Junjian Hu, Xiaoping Wu, Xuezhong Wu, Wenqi Xiao, Dingbang |
author_facet | Miao, Tongqiao Li, Qingsong Chen, Liangqian Li, Junjian Hu, Xiaoping Wu, Xuezhong Wu, Wenqi Xiao, Dingbang |
author_sort | Miao, Tongqiao |
collection | PubMed |
description | High-performance micro-electro-mechanical system (MEMS) gyrocompasses for north-finding systems have been very popular for decades. In this paper, a MEMS north-finding system (NFS) based on virtual maytagging (VM) is presented for the first time. In stark contrast to previous schemes of MEMS-based NFSs (e.g., carouseling, maytagging) and the abandoning rate table, we developed a honeycomb disk resonator gyroscope (HDRG) and two commercial accelerometers for azimuth detection. Instead of the physical rotation of the integrated turntable in traditional NFSs, the vibratory working modes of the HDRG are rotated periodically with electronic control to reduce the uncertainty in the azimuth. After systematically analyzing the principle of NFSs with VM, we designed tests to verify the practicability at the sensor level. A bias instability of 0.0078°/h can be obtained during one day with VM in an HDRG. We also implemented comparative north-finding experiments to further check our strategy at the system level. The accuracy in the azimuth can reach 0.204° for 5 min at 28.2° latitude with VM and 0.172° with maytagging. The results show that without any mechanical turning parts, VM technology makes it possible to develop high-precision handheld MEMS NFSs. [Image: see text] |
format | Online Article Text |
id | pubmed-10628254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106282542023-11-08 Removal of the rate table: MEMS gyrocompass with virtual maytagging Miao, Tongqiao Li, Qingsong Chen, Liangqian Li, Junjian Hu, Xiaoping Wu, Xuezhong Wu, Wenqi Xiao, Dingbang Microsyst Nanoeng Article High-performance micro-electro-mechanical system (MEMS) gyrocompasses for north-finding systems have been very popular for decades. In this paper, a MEMS north-finding system (NFS) based on virtual maytagging (VM) is presented for the first time. In stark contrast to previous schemes of MEMS-based NFSs (e.g., carouseling, maytagging) and the abandoning rate table, we developed a honeycomb disk resonator gyroscope (HDRG) and two commercial accelerometers for azimuth detection. Instead of the physical rotation of the integrated turntable in traditional NFSs, the vibratory working modes of the HDRG are rotated periodically with electronic control to reduce the uncertainty in the azimuth. After systematically analyzing the principle of NFSs with VM, we designed tests to verify the practicability at the sensor level. A bias instability of 0.0078°/h can be obtained during one day with VM in an HDRG. We also implemented comparative north-finding experiments to further check our strategy at the system level. The accuracy in the azimuth can reach 0.204° for 5 min at 28.2° latitude with VM and 0.172° with maytagging. The results show that without any mechanical turning parts, VM technology makes it possible to develop high-precision handheld MEMS NFSs. [Image: see text] Nature Publishing Group UK 2023-11-06 /pmc/articles/PMC10628254/ /pubmed/37941763 http://dx.doi.org/10.1038/s41378-023-00610-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Miao, Tongqiao Li, Qingsong Chen, Liangqian Li, Junjian Hu, Xiaoping Wu, Xuezhong Wu, Wenqi Xiao, Dingbang Removal of the rate table: MEMS gyrocompass with virtual maytagging |
title | Removal of the rate table: MEMS gyrocompass with virtual maytagging |
title_full | Removal of the rate table: MEMS gyrocompass with virtual maytagging |
title_fullStr | Removal of the rate table: MEMS gyrocompass with virtual maytagging |
title_full_unstemmed | Removal of the rate table: MEMS gyrocompass with virtual maytagging |
title_short | Removal of the rate table: MEMS gyrocompass with virtual maytagging |
title_sort | removal of the rate table: mems gyrocompass with virtual maytagging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628254/ https://www.ncbi.nlm.nih.gov/pubmed/37941763 http://dx.doi.org/10.1038/s41378-023-00610-3 |
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