Tension-Based Reconfigurable Multi-Agent Formation for Aerial Load Transportation

This paper proposes a trajectory tracking controller for a cable-suspended load transported by <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> unmanned aerial vehicles based on Euler angle states. This is accomplished using the resultant tension on the load as a virtual input and then distributing it to each vehicle, for which low-level controllers generate the correct thrust and torque values. Furthermore, a leader-follower-based control is proposed to safely change the number of agents carrying the load. Numerical simulations are presented to validate the controllers. Finally, experiments show that the proposed method effectively makes the load perform as expected and allows one to change the formation configuration without severely impacting the load navigation.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3584623
Citations
3
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
2.14

Funders

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article

Tension-Based Reconfigurable Multi-Agent Formation for Aerial Load Transportation

Rogelio Lozano, Daniel Khéde Dourado Villa, Vinícius Pacheco Bacheti, Mário Sarcinelli-Filho et al.
3 citations
IEEE Access
Modular Robots and Swarm Intelligence
2.14
article

Tension-Based Reconfigurable Multi-Agent Formation for Aerial Load Transportation

Rogelio Lozano, Daniel Khéde Dourado Villa, Vinícius Pacheco Bacheti, Mário Sarcinelli-Filho, P. Castillo
article en
3 citations

Abstract

This paper proposes a trajectory tracking controller for a cable-suspended load transported by <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> unmanned aerial vehicles based on Euler angle states. This is accomplished using the resultant tension on the load as a virtual input and then distributing it to each vehicle, for which low-level controllers generate the correct thrust and torque values. Furthermore, a leader-follower-based control is proposed to safely change the number of agents carrying the load. Numerical simulations are presented to validate the controllers. Finally, experiments show that the proposed method effectively makes the load perform as expected and allows one to change the formation configuration without severely impacting the load navigation.

IEEE AccessVol. 13
Université de Technologie de Compiègne (FR), Centre National de la Recherche Scientifique (FR), Universidade Federal do Espírito Santo (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Affordable and clean energy
Openalex Percentile: Top 13%
Modular Robots and Swarm Intelligence
2.14
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