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An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion
Accurately obtaining roll angles is one of the key technologies to improve the positioning accuracy and operation quality of agricultural equipment. Given the demand for the acquisition of agricultural equipment roll angles, a roll angle monitoring model based on Kalman filtering and multi-source in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181222/ https://www.ncbi.nlm.nih.gov/pubmed/32272802 http://dx.doi.org/10.3390/s20072082 |
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author | Li, Yang Jia, Honglei Qi, Jiangtao Sun, Huibin Tian, Xinliang Liu, Huili Fan, Xuhui |
author_facet | Li, Yang Jia, Honglei Qi, Jiangtao Sun, Huibin Tian, Xinliang Liu, Huili Fan, Xuhui |
author_sort | Li, Yang |
collection | PubMed |
description | Accurately obtaining roll angles is one of the key technologies to improve the positioning accuracy and operation quality of agricultural equipment. Given the demand for the acquisition of agricultural equipment roll angles, a roll angle monitoring model based on Kalman filtering and multi-source information fusion was established by using the MTi-300 AHRS inertial sensor (INS) and XW-GI 5630 BeiDou Navigation Satellite System (BDS), which were installed on agricultural equipment. Data of the INS and BDS were fused by MATLAB; then, Kalman filter was used to optimize the data, and the state equation and measurement equation of the integrated system were established. Then, an integrated monitoring terminal man–machine interactive interface was designed on MATLAB GUI, and a roll angle monitoring system based on the INS and BDS was designed and applied into field experiments. The mean absolute error of the integrated monitoring system based on multi-source information fusion during field experiments was 0.72°, which was smaller compared with the mean absolute errors of roll angle monitored by the INS and BDS independently (0.78° and 0.75°, respectively). Thus, the roll angle integrated model improves monitoring precision and underlies future research on navigation and independent operation of agricultural equipment. |
format | Online Article Text |
id | pubmed-7181222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71812222020-04-28 An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion Li, Yang Jia, Honglei Qi, Jiangtao Sun, Huibin Tian, Xinliang Liu, Huili Fan, Xuhui Sensors (Basel) Article Accurately obtaining roll angles is one of the key technologies to improve the positioning accuracy and operation quality of agricultural equipment. Given the demand for the acquisition of agricultural equipment roll angles, a roll angle monitoring model based on Kalman filtering and multi-source information fusion was established by using the MTi-300 AHRS inertial sensor (INS) and XW-GI 5630 BeiDou Navigation Satellite System (BDS), which were installed on agricultural equipment. Data of the INS and BDS were fused by MATLAB; then, Kalman filter was used to optimize the data, and the state equation and measurement equation of the integrated system were established. Then, an integrated monitoring terminal man–machine interactive interface was designed on MATLAB GUI, and a roll angle monitoring system based on the INS and BDS was designed and applied into field experiments. The mean absolute error of the integrated monitoring system based on multi-source information fusion during field experiments was 0.72°, which was smaller compared with the mean absolute errors of roll angle monitored by the INS and BDS independently (0.78° and 0.75°, respectively). Thus, the roll angle integrated model improves monitoring precision and underlies future research on navigation and independent operation of agricultural equipment. MDPI 2020-04-07 /pmc/articles/PMC7181222/ /pubmed/32272802 http://dx.doi.org/10.3390/s20072082 Text en © 2020 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 Li, Yang Jia, Honglei Qi, Jiangtao Sun, Huibin Tian, Xinliang Liu, Huili Fan, Xuhui An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion |
title | An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion |
title_full | An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion |
title_fullStr | An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion |
title_full_unstemmed | An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion |
title_short | An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion |
title_sort | acquisition method of agricultural equipment roll angle based on multi-source information fusion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181222/ https://www.ncbi.nlm.nih.gov/pubmed/32272802 http://dx.doi.org/10.3390/s20072082 |
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