Research on the Application of Multi-rotor UAV Formation in the Hydrological Monitoring Field

In the context of the increasing demand for environmental monitoring, multi-rotor UAV formation has gradually become an important tool in hydrology monitoring. In this study, we propose a control algorithm for UAV formation utilizing an enhanced artificial potential field method. The obstacle avoidance problem in a complex environment for UAV formation is resolved by boosting the repulsive function and incorporating virtual target points, consequently strengthening the formation stability. At the same time, the consistency control algorithm is introduced to further optimize the speed oscillation problem during formation obstacle avoidance. Through MATLAB simulation, the proposed methodology demonstrates a markedly superior performance in the domains of path planning and obstacle avoidance when compared to conventional approaches, which proves its effectiveness and feasibility in practical application.

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Publication Details

Journal
Academic Journal of Science and Technology
Published
2024-12-26
DOI
https://doi.org/10.54097/w9jq2y75
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

Research on the Application of Multi-rotor UAV Formation in the Hydrological Monitoring Field

Zixuan Cui
Academic Journal of Science and Technology
Advanced Algorithms and Applications
article

Research on the Application of Multi-rotor UAV Formation in the Hydrological Monitoring Field

Zixuan Cui
article en

Abstract

In the context of the increasing demand for environmental monitoring, multi-rotor UAV formation has gradually become an important tool in hydrology monitoring. In this study, we propose a control algorithm for UAV formation utilizing an enhanced artificial potential field method. The obstacle avoidance problem in a complex environment for UAV formation is resolved by boosting the repulsive function and incorporating virtual target points, consequently strengthening the formation stability. At the same time, the consistency control algorithm is introduced to further optimize the speed oscillation problem during formation obstacle avoidance. Through MATLAB simulation, the proposed methodology demonstrates a markedly superior performance in the domains of path planning and obstacle avoidance when compared to conventional approaches, which proves its effectiveness and feasibility in practical application.

Academic Journal of Science and TechnologyVol. 13(3)
North China University of Science and Technology (CN), North China University of Technology (CN), Hebei University of Technology (CN), Hebei University of Science and Technology (CN)
Life in Land
Openalex Percentile: Top 71%
Advanced Algorithms and Applications
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Research on the Application of Multi-rotor UAV Formation in the Hydrological Monitoring Field — Zixuan Cui · Academic Journal of Science and Technology (2024) | TGRS Research Map | TGRS