Scalable Coordinated Control of UAV Swarms: A Priority‐Driven Behavioural Approach

ABSTRACT This paper presents a scalable solution for the coordinated control of swarms of UAVs operating in complex three‐dimensional environments with no‐fly zones and obstacles. The proposed approach is based on a priority‐driven behaviour structure implemented using the null‐space behavioural (NSB) technique. Each UAV dynamically adapts its behaviour according to a predefined task hierarchy including collision avoidance, obstacle‐avoidance, formation maintenance and target achievement. By projecting lower priority control actions into the null space of higher priority tasks, the method ensures conflict‐free execution of tasks with respect to the fulfilment of the overall mission. The control architecture has a fully decentralised structure and is designed to maintain performance and scalability as the number of UAVs increases. The results of several experimental tests have demonstrated the effectiveness of the proposed method in maintaining formation and achieving mission objectives in constrained environments.

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Publication Details

Journal
IET Radar Sonar & Navigation
Published
2025-01-01
DOI
https://doi.org/10.1049/rsn2.70079
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Scalable Coordinated Control of UAV Swarms: A Priority‐Driven Behavioural Approach

Salvatore Rosario Bassolillo, Immacolata Notaro, Egidio D’Amato, Valerio Scordamaglia et al.
IET Radar Sonar & Navigation
Distributed Control Multi-Agent Systems
article

Scalable Coordinated Control of UAV Swarms: A Priority‐Driven Behavioural Approach

Salvatore Rosario Bassolillo, Immacolata Notaro, Egidio D’Amato, Valerio Scordamaglia, Alessia Ferraro
article en

Abstract

ABSTRACT This paper presents a scalable solution for the coordinated control of swarms of UAVs operating in complex three‐dimensional environments with no‐fly zones and obstacles. The proposed approach is based on a priority‐driven behaviour structure implemented using the null‐space behavioural (NSB) technique. Each UAV dynamically adapts its behaviour according to a predefined task hierarchy including collision avoidance, obstacle‐avoidance, formation maintenance and target achievement. By projecting lower priority control actions into the null space of higher priority tasks, the method ensures conflict‐free execution of tasks with respect to the fulfilment of the overall mission. The control architecture has a fully decentralised structure and is designed to maintain performance and scalability as the number of UAVs increases. The results of several experimental tests have demonstrated the effectiveness of the proposed method in maintaining formation and achieving mission objectives in constrained environments.

IET Radar Sonar & NavigationVol. 19(1)
Parthenope University of Naples (IT), University of Campania "Luigi Vanvitelli" (IT), Azienda Ospedaliera Universitaria Università degli Studi della Campania Luigi Vanvitelli (IT), University of Reggio Calabria (IT)
Openalex Percentile: Top 70%
Distributed Control Multi-Agent Systems
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Scalable Coordinated Control of UAV Swarms: A Priority‐Driven Behavioural Approach — Salvatore Rosario Bassolillo, Immacolata Notaro, et al. · IET Radar Sonar & Navigation (2025) | TGRS Research Map | TGRS