A Low-Cost Experimental Testbed for Decentralized Control of Multi-UAV Systems

The current state of research in control of multi-agent systems is evolving from the theoretical development of coordination algorithms and their computer simulations to experimental validations on proof-of-concept testbeds. In this paper, we describe the development of a low-cost, indoor, multiple unmanned aerial vehicle (UAV) platform for testing decentralized control algorithms. The platform consists of a team of Parrot Mambo Fly’s (a small commercially-available quadcopter-type UAV), a host computer per UAV, and a Simulink-based programming environment. The paper details the hardware, software, communication, and control components of the platform, followed by a demonstration of the platform’s performance in the context of formation control.

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Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/ccta60707.2024.10666654
Citations
3
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.05

Funders

Controls
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article

A Low-Cost Experimental Testbed for Decentralized Control of Multi-UAV Systems

Farid Sahebsara, Marcio S. de Queiroz, Matthew Snellgrove
3 citations
Distributed Control Multi-Agent Systems
1.05
article

A Low-Cost Experimental Testbed for Decentralized Control of Multi-UAV Systems

Farid Sahebsara, Marcio S. de Queiroz, Matthew Snellgrove
article en
3 citations

Abstract

The current state of research in control of multi-agent systems is evolving from the theoretical development of coordination algorithms and their computer simulations to experimental validations on proof-of-concept testbeds. In this paper, we describe the development of a low-cost, indoor, multiple unmanned aerial vehicle (UAV) platform for testing decentralized control algorithms. The platform consists of a team of Parrot Mambo Fly’s (a small commercially-available quadcopter-type UAV), a host computer per UAV, and a Simulink-based programming environment. The paper details the hardware, software, communication, and control components of the platform, followed by a demonstration of the platform’s performance in the context of formation control.

Louisiana State University (US)
Louisiana Space Grant Consortium
Affordable and clean energy
Openalex Percentile: Top 21%
Distributed Control Multi-Agent Systems
1.05
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