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INS/GNSS Integration for Aerobatic Flight Applications and Aircraft Motion Surveying

This paper presents field tests of challenging flight applications obtained with a new family of lightweight low-power INS/GNSS (inertial navigation system/global satellite navigation system) solutions based on MEMS (micro-electro-mechanical- sensor) machined sensors, being used for UAV (unmanned ae...

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Detalles Bibliográficos
Autores principales: v. Hinüber, Edgar L., Reimer, Christian, Schneider, Tim, Stock, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461065/
https://www.ncbi.nlm.nih.gov/pubmed/28445417
http://dx.doi.org/10.3390/s17050941
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author v. Hinüber, Edgar L.
Reimer, Christian
Schneider, Tim
Stock, Michael
author_facet v. Hinüber, Edgar L.
Reimer, Christian
Schneider, Tim
Stock, Michael
author_sort v. Hinüber, Edgar L.
collection PubMed
description This paper presents field tests of challenging flight applications obtained with a new family of lightweight low-power INS/GNSS (inertial navigation system/global satellite navigation system) solutions based on MEMS (micro-electro-mechanical- sensor) machined sensors, being used for UAV (unmanned aerial vehicle) navigation and control as well as for aircraft motion dynamics analysis and trajectory surveying. One key is a 42+ state extended Kalman-filter-based powerful data fusion, which also allows the estimation and correction of parameters that are typically affected by sensor aging, especially when applying MEMS-based inertial sensors, and which is not yet deeply considered in the literature. The paper presents the general system architecture, which allows iMAR Navigation the integration of all classes of inertial sensors and GNSS (global navigation satellite system) receivers from very-low-cost MEMS and high performance MEMS over FOG (fiber optical gyro) and RLG (ring laser gyro) up to HRG (hemispherical resonator gyro) technology, and presents detailed flight test results obtained under extreme flight conditions. As a real-world example, the aerobatic maneuvers of the World Champion 2016 (Red Bull Air Race) are presented. Short consideration is also given to surveying applications, where the ultimate performance of the same data fusion, but applied on gravimetric surveying, is discussed.
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spelling pubmed-54610652017-06-16 INS/GNSS Integration for Aerobatic Flight Applications and Aircraft Motion Surveying v. Hinüber, Edgar L. Reimer, Christian Schneider, Tim Stock, Michael Sensors (Basel) Article This paper presents field tests of challenging flight applications obtained with a new family of lightweight low-power INS/GNSS (inertial navigation system/global satellite navigation system) solutions based on MEMS (micro-electro-mechanical- sensor) machined sensors, being used for UAV (unmanned aerial vehicle) navigation and control as well as for aircraft motion dynamics analysis and trajectory surveying. One key is a 42+ state extended Kalman-filter-based powerful data fusion, which also allows the estimation and correction of parameters that are typically affected by sensor aging, especially when applying MEMS-based inertial sensors, and which is not yet deeply considered in the literature. The paper presents the general system architecture, which allows iMAR Navigation the integration of all classes of inertial sensors and GNSS (global navigation satellite system) receivers from very-low-cost MEMS and high performance MEMS over FOG (fiber optical gyro) and RLG (ring laser gyro) up to HRG (hemispherical resonator gyro) technology, and presents detailed flight test results obtained under extreme flight conditions. As a real-world example, the aerobatic maneuvers of the World Champion 2016 (Red Bull Air Race) are presented. Short consideration is also given to surveying applications, where the ultimate performance of the same data fusion, but applied on gravimetric surveying, is discussed. MDPI 2017-04-26 /pmc/articles/PMC5461065/ /pubmed/28445417 http://dx.doi.org/10.3390/s17050941 Text en © 2017 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
v. Hinüber, Edgar L.
Reimer, Christian
Schneider, Tim
Stock, Michael
INS/GNSS Integration for Aerobatic Flight Applications and Aircraft Motion Surveying
title INS/GNSS Integration for Aerobatic Flight Applications and Aircraft Motion Surveying
title_full INS/GNSS Integration for Aerobatic Flight Applications and Aircraft Motion Surveying
title_fullStr INS/GNSS Integration for Aerobatic Flight Applications and Aircraft Motion Surveying
title_full_unstemmed INS/GNSS Integration for Aerobatic Flight Applications and Aircraft Motion Surveying
title_short INS/GNSS Integration for Aerobatic Flight Applications and Aircraft Motion Surveying
title_sort ins/gnss integration for aerobatic flight applications and aircraft motion surveying
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461065/
https://www.ncbi.nlm.nih.gov/pubmed/28445417
http://dx.doi.org/10.3390/s17050941
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