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A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) have multi-domain applications, fixed-wing UAVs being a widely used class. Despite the ongoing research on the topics of guidance and formation control of fixed-wing UAVs, little progress is known on implementation of semi-physical validation platforms (software-in-th...

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Autores principales: Yang, Jun, Thomas, Arun Geo, Singh, Satish, Baldi, Simone, Wang, Ximan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070914/
https://www.ncbi.nlm.nih.gov/pubmed/32093021
http://dx.doi.org/10.3390/s20041136
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author Yang, Jun
Thomas, Arun Geo
Singh, Satish
Baldi, Simone
Wang, Ximan
author_facet Yang, Jun
Thomas, Arun Geo
Singh, Satish
Baldi, Simone
Wang, Ximan
author_sort Yang, Jun
collection PubMed
description Unmanned Aerial Vehicles (UAVs) have multi-domain applications, fixed-wing UAVs being a widely used class. Despite the ongoing research on the topics of guidance and formation control of fixed-wing UAVs, little progress is known on implementation of semi-physical validation platforms (software-in-the-loop or hardware-in-the-loop) for such complex autonomous systems. A semi-physical simulation platform should capture not only the physical aspects of UAV dynamics, but also the cybernetics aspects such as the autopilot and the communication layers connecting the different components. Such a cyber-physical integration would allow validation of guidance and formation control algorithms in the presence of uncertainties, unmodelled dynamics, low-level control loops, communication protocols and unreliable communication: These aspects are often neglected in the design of guidance and formation control laws for fixed-wing UAVs. This paper describes the development of a semi-physical platform for multi-fixed wing UAVs where all the aforementioned points are carefully integrated. The environment adopts Raspberry Pi’s programmed in C++, which can be interfaced to standard autopilots (PX4) as a companion computer. Simulations are done in a distributed setting with a server program designed for the purpose of routing data between nodes, handling the user inputs and configurations of the UAVs. Gazebo-ROS is used as a 3D visualization tool.
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spelling pubmed-70709142020-03-19 A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles Yang, Jun Thomas, Arun Geo Singh, Satish Baldi, Simone Wang, Ximan Sensors (Basel) Article Unmanned Aerial Vehicles (UAVs) have multi-domain applications, fixed-wing UAVs being a widely used class. Despite the ongoing research on the topics of guidance and formation control of fixed-wing UAVs, little progress is known on implementation of semi-physical validation platforms (software-in-the-loop or hardware-in-the-loop) for such complex autonomous systems. A semi-physical simulation platform should capture not only the physical aspects of UAV dynamics, but also the cybernetics aspects such as the autopilot and the communication layers connecting the different components. Such a cyber-physical integration would allow validation of guidance and formation control algorithms in the presence of uncertainties, unmodelled dynamics, low-level control loops, communication protocols and unreliable communication: These aspects are often neglected in the design of guidance and formation control laws for fixed-wing UAVs. This paper describes the development of a semi-physical platform for multi-fixed wing UAVs where all the aforementioned points are carefully integrated. The environment adopts Raspberry Pi’s programmed in C++, which can be interfaced to standard autopilots (PX4) as a companion computer. Simulations are done in a distributed setting with a server program designed for the purpose of routing data between nodes, handling the user inputs and configurations of the UAVs. Gazebo-ROS is used as a 3D visualization tool. MDPI 2020-02-19 /pmc/articles/PMC7070914/ /pubmed/32093021 http://dx.doi.org/10.3390/s20041136 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
Yang, Jun
Thomas, Arun Geo
Singh, Satish
Baldi, Simone
Wang, Ximan
A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles
title A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles
title_full A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles
title_fullStr A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles
title_full_unstemmed A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles
title_short A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles
title_sort semi-physical platform for guidance and formations of fixed-wing unmanned aerial vehicles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070914/
https://www.ncbi.nlm.nih.gov/pubmed/32093021
http://dx.doi.org/10.3390/s20041136
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