Research on multiple quadrotor UAV formation obstacle avoidance based on finite-time consensus

Abstract Aiming at the problem of fast and consensus obstacle avoidance of multiple unmanned aerial systems in undirected network, a multi-quadrotor unmanned aerial vehicles UAVs (QUAVs) finite-time consensus obstacle avoidance algorithm is proposed. In this paper, multi-QUAVs establish communication through the leader-following method, and the formation is led by the leader to fly to the target position automatically and avoid obstacles autonomously through the improved artificial potential field method. The finite-time consensus protocol controls multi-QUAVs to form a desired formation quickly, considering the existence of communication and input delay, and rigorously proves the convergence of the proposed protocol. A trajectory segmentation strategy is added to the improved artificial potential field method to reduce trajectory loss and improve the task execution efficiency. The simulation results show that multi-QUAVs can be assembled to form the desired formation quickly, and the QUAV formation can avoid obstacles and maintain the formation unchanged while avoiding obstacles.

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Publication Details

Journal
The Aeronautical Journal
Published
2024-12-06
DOI
https://doi.org/10.1017/aer.2024.115
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.35

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article

Research on multiple quadrotor UAV formation obstacle avoidance based on finite-time consensus

Limin Zhang, Tao Wei, Yan Li, Boyang Qu et al.
1 citations
The Aeronautical Journal
Distributed Control Multi-Agent Systems
0.35
article

Research on multiple quadrotor UAV formation obstacle avoidance based on finite-time consensus

Limin Zhang, Tao Wei, Yan Li, Boyang Qu, X. Chai, R. Liu
article en
1 citations

Abstract

Abstract Aiming at the problem of fast and consensus obstacle avoidance of multiple unmanned aerial systems in undirected network, a multi-quadrotor unmanned aerial vehicles UAVs (QUAVs) finite-time consensus obstacle avoidance algorithm is proposed. In this paper, multi-QUAVs establish communication through the leader-following method, and the formation is led by the leader to fly to the target position automatically and avoid obstacles autonomously through the improved artificial potential field method. The finite-time consensus protocol controls multi-QUAVs to form a desired formation quickly, considering the existence of communication and input delay, and rigorously proves the convergence of the proposed protocol. A trajectory segmentation strategy is added to the improved artificial potential field method to reduce trajectory loss and improve the task execution efficiency. The simulation results show that multi-QUAVs can be assembled to form the desired formation quickly, and the QUAV formation can avoid obstacles and maintain the formation unchanged while avoiding obstacles.

The Aeronautical JournalVol. 129(1334)
Zhongyuan University of Technology (CN), Henan University of Engineering (CN)
National Natural Science Foundation of China, Natural Science Foundation of Henan Province, Recruitment Program of Global Experts
Openalex Percentile: Top 36%
Distributed Control Multi-Agent Systems
0.35
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