Distributed Observer-Based Formation Control for Leader-Follower Multi-UAVs With Collision Avoidance

This work investigates the formation control problem for leader-follower multi-unpiloted aerial vehicles (UAVs) with obstacle avoidance based on distributed observer. Firstly, with the aid of formation information, a collision avoidance control method is proposed based on an artificial potential function, which ensures collision avoidance for the multi-UAVs as a whole. Subsequently, a novel prescribed-time distributed observer with low data transfer is developed, which is capable of estimating the states of leader UAV without the acceleration boundary of the leader UAV. Then, next by using the prescribed performance control technique to facilitate transform error, a prescribed-time formation control method is constructed to guarantee the collision avoidance among UAVs. The developed control method enables the formated follower UAVs to track the trajectory of the leader UAV within a prescribed-time, and obstacles can be effectively circumvented without disrupting the predefined formation. The efficacy of the proposed scheme is finally demonstrated through the simulation.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-03-26
DOI
https://doi.org/10.1109/tvt.2025.3554972
Citations
10
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
14.87
Controls
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article

Distributed Observer-Based Formation Control for Leader-Follower Multi-UAVs With Collision Avoidance

Kairui Chen, Jianhui Wang, C. L. Philip Chen, Jiarui Liu
10 citations
IEEE Transactions on Vehicular Technology
Distributed Control Multi-Agent Systems
14.87
article

Distributed Observer-Based Formation Control for Leader-Follower Multi-UAVs With Collision Avoidance

Kairui Chen, Jianhui Wang, C. L. Philip Chen, Jiarui Liu
article en
10 citations

Abstract

This work investigates the formation control problem for leader-follower multi-unpiloted aerial vehicles (UAVs) with obstacle avoidance based on distributed observer. Firstly, with the aid of formation information, a collision avoidance control method is proposed based on an artificial potential function, which ensures collision avoidance for the multi-UAVs as a whole. Subsequently, a novel prescribed-time distributed observer with low data transfer is developed, which is capable of estimating the states of leader UAV without the acceleration boundary of the leader UAV. Then, next by using the prescribed performance control technique to facilitate transform error, a prescribed-time formation control method is constructed to guarantee the collision avoidance among UAVs. The developed control method enables the formated follower UAVs to track the trajectory of the leader UAV within a prescribed-time, and obstacles can be effectively circumvented without disrupting the predefined formation. The efficacy of the proposed scheme is finally demonstrated through the simulation.

IEEE Transactions on Vehicular TechnologyVol. 74(8)
Guangzhou University (CN), South China University of Technology (CN)
Climate action
Openalex Percentile: Top 1%
Distributed Control Multi-Agent Systems
14.87
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