Control of Unmanned Aerial Vehicle Swarms to Cruise and Cluster While Considering Rhythmless Coupled Oscillation

When multiple unmanned aerial vehicles (UAVs) form a cluster, their flight process is divided into two phases. The first phase is the cruising stage, during which UAVs move from random positions toward the target, gradually forming a spherical topology. In the initial cruising phase, to address the oscillation phenomenon in traditional sliding mode control, we propose a new reaching law to overcome the typical residual oscillations present in conventional reaching laws, called the Control Law for Residual Chattering Oscillation Elimination (CL-RCO). Based on this proposed new law, we have designed an artificial potential field-based sliding mode formation controller for UAVs to manage the formation control of UAVs. The second stage is the clustering phase, which focuses on overcoming oscillations to establish a stable topology. In this phase, we design a controller that combines artificial potential fields with variable repulsion coefficients and backstepping control. This method addresses the persistent residual oscillations in formations maintained solely by artificial potential fields during the clustering phase. Lyapunov stability analysis is employed to confirm the feasibility of the designed controller. Eventually, numerical simulations and comparative analyses are performed, successfully demonstrating the proposed method’s effectiveness.

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Publication Details

Journal
Drones
Published
2025-04-02
DOI
https://doi.org/10.3390/drones9040271
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49
Controls
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article

Control of Unmanned Aerial Vehicle Swarms to Cruise and Cluster While Considering Rhythmless Coupled Oscillation

Yonggang Li, Peng Fu, Ang Gao, Longjiang Li
1 citations
Drones
Distributed Control Multi-Agent Systems
1.49
article

Control of Unmanned Aerial Vehicle Swarms to Cruise and Cluster While Considering Rhythmless Coupled Oscillation

Yonggang Li, Peng Fu, Ang Gao, Longjiang Li
article en
1 citations

Abstract

When multiple unmanned aerial vehicles (UAVs) form a cluster, their flight process is divided into two phases. The first phase is the cruising stage, during which UAVs move from random positions toward the target, gradually forming a spherical topology. In the initial cruising phase, to address the oscillation phenomenon in traditional sliding mode control, we propose a new reaching law to overcome the typical residual oscillations present in conventional reaching laws, called the Control Law for Residual Chattering Oscillation Elimination (CL-RCO). Based on this proposed new law, we have designed an artificial potential field-based sliding mode formation controller for UAVs to manage the formation control of UAVs. The second stage is the clustering phase, which focuses on overcoming oscillations to establish a stable topology. In this phase, we design a controller that combines artificial potential fields with variable repulsion coefficients and backstepping control. This method addresses the persistent residual oscillations in formations maintained solely by artificial potential fields during the clustering phase. Lyapunov stability analysis is employed to confirm the feasibility of the designed controller. Eventually, numerical simulations and comparative analyses are performed, successfully demonstrating the proposed method’s effectiveness.

DronesVol. 9(4)
Chongqing University of Posts and Telecommunications (CN), University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 19%
Distributed Control Multi-Agent Systems
1.49
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Control of Unmanned Aerial Vehicle Swarms to Cruise and Cluster While Considering Rhythmless Coupled Oscillation — Yonggang Li, Peng Fu, et al. · Drones (2025) | TGRS Research Map | TGRS