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A Proposed System for Multi-UAVs in Remote Sensing Operations

This paper proposes the design of the communications, control systems, and navigation algorithms of a multi-UAV system focused on remote sensing operations. A new controller based on a compensator and a nominal controller is designed to dynamically regulate the UAVs’ attitude. The navigation system...

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Detalles Bibliográficos
Autores principales: Flores Peña, Pablo, Luna, Marco Andrés, Ale Isaac, Mohammad Sadeq, Ragab, Ahmed Refaat, Elmenshawy, Khaled, Martín Gómez, David, Campoy, Pascual, Molina, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737086/
https://www.ncbi.nlm.nih.gov/pubmed/36501881
http://dx.doi.org/10.3390/s22239180
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author Flores Peña, Pablo
Luna, Marco Andrés
Ale Isaac, Mohammad Sadeq
Ragab, Ahmed Refaat
Elmenshawy, Khaled
Martín Gómez, David
Campoy, Pascual
Molina, Martin
author_facet Flores Peña, Pablo
Luna, Marco Andrés
Ale Isaac, Mohammad Sadeq
Ragab, Ahmed Refaat
Elmenshawy, Khaled
Martín Gómez, David
Campoy, Pascual
Molina, Martin
author_sort Flores Peña, Pablo
collection PubMed
description This paper proposes the design of the communications, control systems, and navigation algorithms of a multi-UAV system focused on remote sensing operations. A new controller based on a compensator and a nominal controller is designed to dynamically regulate the UAVs’ attitude. The navigation system addresses the multi-region coverage trajectory planning task using a new approach to solve the TSP-CPP problem. The navigation algorithms were tested theoretically, and the combination of the proposed navigation techniques and control strategy was simulated through the Matlab SimScape platform to optimize the controller’s parameters over several iterations. The results reveal the robustness of the controller and optimal performance of the route planner.
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spelling pubmed-97370862022-12-11 A Proposed System for Multi-UAVs in Remote Sensing Operations Flores Peña, Pablo Luna, Marco Andrés Ale Isaac, Mohammad Sadeq Ragab, Ahmed Refaat Elmenshawy, Khaled Martín Gómez, David Campoy, Pascual Molina, Martin Sensors (Basel) Article This paper proposes the design of the communications, control systems, and navigation algorithms of a multi-UAV system focused on remote sensing operations. A new controller based on a compensator and a nominal controller is designed to dynamically regulate the UAVs’ attitude. The navigation system addresses the multi-region coverage trajectory planning task using a new approach to solve the TSP-CPP problem. The navigation algorithms were tested theoretically, and the combination of the proposed navigation techniques and control strategy was simulated through the Matlab SimScape platform to optimize the controller’s parameters over several iterations. The results reveal the robustness of the controller and optimal performance of the route planner. MDPI 2022-11-25 /pmc/articles/PMC9737086/ /pubmed/36501881 http://dx.doi.org/10.3390/s22239180 Text en © 2022 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
Flores Peña, Pablo
Luna, Marco Andrés
Ale Isaac, Mohammad Sadeq
Ragab, Ahmed Refaat
Elmenshawy, Khaled
Martín Gómez, David
Campoy, Pascual
Molina, Martin
A Proposed System for Multi-UAVs in Remote Sensing Operations
title A Proposed System for Multi-UAVs in Remote Sensing Operations
title_full A Proposed System for Multi-UAVs in Remote Sensing Operations
title_fullStr A Proposed System for Multi-UAVs in Remote Sensing Operations
title_full_unstemmed A Proposed System for Multi-UAVs in Remote Sensing Operations
title_short A Proposed System for Multi-UAVs in Remote Sensing Operations
title_sort proposed system for multi-uavs in remote sensing operations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737086/
https://www.ncbi.nlm.nih.gov/pubmed/36501881
http://dx.doi.org/10.3390/s22239180
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