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Research on Algorithm of Airborne Dual-Antenna GNSS/MINS Integrated Navigation System

In view of the difficulties regarding that airborne navigation equipment relies on imports and the expensive domestic high-precision navigation equipment in the manufacturing field of Chinese navigable aircraft, a dual-antenna GNSS (global navigation satellite system)/MINS (micro-inertial navigation...

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Autores principales: Xia, Ming, Sun, Pengfei, Guan, Lianwu, Zhang, Zhonghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920572/
https://www.ncbi.nlm.nih.gov/pubmed/36772732
http://dx.doi.org/10.3390/s23031691
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author Xia, Ming
Sun, Pengfei
Guan, Lianwu
Zhang, Zhonghua
author_facet Xia, Ming
Sun, Pengfei
Guan, Lianwu
Zhang, Zhonghua
author_sort Xia, Ming
collection PubMed
description In view of the difficulties regarding that airborne navigation equipment relies on imports and the expensive domestic high-precision navigation equipment in the manufacturing field of Chinese navigable aircraft, a dual-antenna GNSS (global navigation satellite system)/MINS (micro-inertial navigation system) integrated navigation system was developed to implement high-precision and high-reliability airborne integrated navigation equipment. First, the state equation and measurement equation of the system were established based on the classical discrete Kalman filter principle. Second, according to the characteristics of the MEMS (micro-electric-mechanical system), the IMU (inertial measurement unit) is not sensitive to Earth rotation to realize self-alignment; the magnetometer, accelerometer and dual-antenna GNSS are utilized for reliable attitude initial alignment. Finally, flight status identification was implemented by the different satellite data, accelerometer and gyroscope parameters of the aircraft in different states. The test results shown that the RMS (root mean square) of the pitch angle and roll angle error of the testing system are less than 0.05° and the heading angle error RMS is less than 0.15° under the indoor static condition. A UAV flight test was carried out to test the navigation effect of the equipment upon aircraft take-off, climbing, turning, cruising and other states, and to verify the effectiveness of the system algorithm.
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spelling pubmed-99205722023-02-12 Research on Algorithm of Airborne Dual-Antenna GNSS/MINS Integrated Navigation System Xia, Ming Sun, Pengfei Guan, Lianwu Zhang, Zhonghua Sensors (Basel) Article In view of the difficulties regarding that airborne navigation equipment relies on imports and the expensive domestic high-precision navigation equipment in the manufacturing field of Chinese navigable aircraft, a dual-antenna GNSS (global navigation satellite system)/MINS (micro-inertial navigation system) integrated navigation system was developed to implement high-precision and high-reliability airborne integrated navigation equipment. First, the state equation and measurement equation of the system were established based on the classical discrete Kalman filter principle. Second, according to the characteristics of the MEMS (micro-electric-mechanical system), the IMU (inertial measurement unit) is not sensitive to Earth rotation to realize self-alignment; the magnetometer, accelerometer and dual-antenna GNSS are utilized for reliable attitude initial alignment. Finally, flight status identification was implemented by the different satellite data, accelerometer and gyroscope parameters of the aircraft in different states. The test results shown that the RMS (root mean square) of the pitch angle and roll angle error of the testing system are less than 0.05° and the heading angle error RMS is less than 0.15° under the indoor static condition. A UAV flight test was carried out to test the navigation effect of the equipment upon aircraft take-off, climbing, turning, cruising and other states, and to verify the effectiveness of the system algorithm. MDPI 2023-02-03 /pmc/articles/PMC9920572/ /pubmed/36772732 http://dx.doi.org/10.3390/s23031691 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
Xia, Ming
Sun, Pengfei
Guan, Lianwu
Zhang, Zhonghua
Research on Algorithm of Airborne Dual-Antenna GNSS/MINS Integrated Navigation System
title Research on Algorithm of Airborne Dual-Antenna GNSS/MINS Integrated Navigation System
title_full Research on Algorithm of Airborne Dual-Antenna GNSS/MINS Integrated Navigation System
title_fullStr Research on Algorithm of Airborne Dual-Antenna GNSS/MINS Integrated Navigation System
title_full_unstemmed Research on Algorithm of Airborne Dual-Antenna GNSS/MINS Integrated Navigation System
title_short Research on Algorithm of Airborne Dual-Antenna GNSS/MINS Integrated Navigation System
title_sort research on algorithm of airborne dual-antenna gnss/mins integrated navigation system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920572/
https://www.ncbi.nlm.nih.gov/pubmed/36772732
http://dx.doi.org/10.3390/s23031691
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