A Distributed Leader-Follower Consensus Control Approach for Aerial Load Transportation

This paper presents a decentralized cascaded control architecture for the formation control of quadrotors, with application to cooperative load transportation. A distributed leaderfollower consensus protocol governs the relative motion among agents. The control design explicitly accounts for time-scale separation between control loops and ensures stability and robustness to communication delays and external disturbances. A high-fidelity simulation environment, including quadrotor, multi-element cable, and payload dynamics modeled via the Udwadia–Kalaba formulation, is used for preliminary assessment of control performance under realistic conditions. Experimental validation is carried out using Parrot Bebop 2 drones and a motion capture system. Results of the formation flight and cooperative load transportation cases confirm the effectiveness and robustness of the proposed strategy.

Authors

Institutions

Publication Details

Published
2026-01-08
DOI
https://doi.org/10.2514/6.2026-0325
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Distributed Leader-Follower Consensus Control Approach for Aerial Load Transportation

Giovanni Di Monaco, Corentin Chauffaut, Yves d. Brière, Alessandro Zavoli et al.
Distributed Control Multi-Agent Systems
article

A Distributed Leader-Follower Consensus Control Approach for Aerial Load Transportation

Giovanni Di Monaco, Corentin Chauffaut, Yves d. Brière, Alessandro Zavoli, Guido De Matteis, Fabio Polese
article en

Abstract

This paper presents a decentralized cascaded control architecture for the formation control of quadrotors, with application to cooperative load transportation. A distributed leaderfollower consensus protocol governs the relative motion among agents. The control design explicitly accounts for time-scale separation between control loops and ensures stability and robustness to communication delays and external disturbances. A high-fidelity simulation environment, including quadrotor, multi-element cable, and payload dynamics modeled via the Udwadia–Kalaba formulation, is used for preliminary assessment of control performance under realistic conditions. Experimental validation is carried out using Parrot Bebop 2 drones and a motion capture system. Results of the formation flight and cooperative load transportation cases confirm the effectiveness and robustness of the proposed strategy.

Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO) (FR), Sapienza University of Rome (IT)
Openalex Percentile: Top 80%
Distributed Control Multi-Agent Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Distributed Leader-Follower Consensus Control Approach for Aerial Load Transportation — Giovanni Di Monaco, Corentin Chauffaut, et al. · (2026) | TGRS Research Map | TGRS