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Multirotor Motor Failure Detection with Piezo Sensor
Failure detection of Unmanned Aerial Vehicle (UAV) motors and propulsion systems is the most important step in the implementation of active fault-tolerant control systems. This will increase the reliability of unmanned systems and increase the level of safety, especially in civil and commercial appl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862776/ https://www.ncbi.nlm.nih.gov/pubmed/36679844 http://dx.doi.org/10.3390/s23021048 |
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author | Ambroziak, Leszek Ołdziej, Daniel Koszewnik, Andrzej |
author_facet | Ambroziak, Leszek Ołdziej, Daniel Koszewnik, Andrzej |
author_sort | Ambroziak, Leszek |
collection | PubMed |
description | Failure detection of Unmanned Aerial Vehicle (UAV) motors and propulsion systems is the most important step in the implementation of active fault-tolerant control systems. This will increase the reliability of unmanned systems and increase the level of safety, especially in civil and commercial applications. The following paper presents a method of motor failure detection in the multirotor UAV using piezo bars. The results of a real flight, in which the failure of the propulsion system caused the crash of a hybrid VTOL UAV, were presented and analyzed. The conclusions drawn from this flight led to the development of a lightweight, simple and reliable sensor that can detect a failure of the UAV propulsion system. The article presents the outcomes of laboratory tests concerning measurements made with a piezo sensor. An extensive analysis of the obtained results of vibrations recorded on a flying platform arm with a propulsion system is presented, and a methodology for using this type of data to detect failures is proposed. The article presents the possibility of using a piezoelectric sensor to record vibrations on the basis of which it is possible to detect a failure of the UAV propulsion system. |
format | Online Article Text |
id | pubmed-9862776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98627762023-01-22 Multirotor Motor Failure Detection with Piezo Sensor Ambroziak, Leszek Ołdziej, Daniel Koszewnik, Andrzej Sensors (Basel) Article Failure detection of Unmanned Aerial Vehicle (UAV) motors and propulsion systems is the most important step in the implementation of active fault-tolerant control systems. This will increase the reliability of unmanned systems and increase the level of safety, especially in civil and commercial applications. The following paper presents a method of motor failure detection in the multirotor UAV using piezo bars. The results of a real flight, in which the failure of the propulsion system caused the crash of a hybrid VTOL UAV, were presented and analyzed. The conclusions drawn from this flight led to the development of a lightweight, simple and reliable sensor that can detect a failure of the UAV propulsion system. The article presents the outcomes of laboratory tests concerning measurements made with a piezo sensor. An extensive analysis of the obtained results of vibrations recorded on a flying platform arm with a propulsion system is presented, and a methodology for using this type of data to detect failures is proposed. The article presents the possibility of using a piezoelectric sensor to record vibrations on the basis of which it is possible to detect a failure of the UAV propulsion system. MDPI 2023-01-16 /pmc/articles/PMC9862776/ /pubmed/36679844 http://dx.doi.org/10.3390/s23021048 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 Ambroziak, Leszek Ołdziej, Daniel Koszewnik, Andrzej Multirotor Motor Failure Detection with Piezo Sensor |
title | Multirotor Motor Failure Detection with Piezo Sensor |
title_full | Multirotor Motor Failure Detection with Piezo Sensor |
title_fullStr | Multirotor Motor Failure Detection with Piezo Sensor |
title_full_unstemmed | Multirotor Motor Failure Detection with Piezo Sensor |
title_short | Multirotor Motor Failure Detection with Piezo Sensor |
title_sort | multirotor motor failure detection with piezo sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862776/ https://www.ncbi.nlm.nih.gov/pubmed/36679844 http://dx.doi.org/10.3390/s23021048 |
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