Research on UAV formation optimization based on emergence effect of swarm intelligence

In order to explore the application of the emergence effect of swarm intelligence in the formation optimization of unmanned aerial vehicle (UAV), this study conducted an in-depth study on the control strategy of UAV formation by constructing a theoretical model based on the swarm intelligence and carrying out simulation experiments. By simulating the swarm behavior of organisms in nature, this study designed a UAV formation control strategy that can adapt to complex environments and task requirements. The results suggest that compared to the traditional centralized control method, the control strategy based on swarm intelligence emergence shows significant advantages in improving the task execution efficiency and enhancing the robustness of the system. This study not only provides a new theoretical support and technical path for the research and application of UAV formation flight technology, but also opens up a new horizon for the development and interdisciplinary application of swarm intelligence theory.

Authors

Publication Details

Published
2024-11-12
DOI
https://doi.org/10.1117/12.3049116
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on UAV formation optimization based on emergence effect of swarm intelligence

Shijia Xu, Wei Zhan, Fan Wu, Lejiang Guo
Robotic Path Planning Algorithms
article

Research on UAV formation optimization based on emergence effect of swarm intelligence

Shijia Xu, Wei Zhan, Fan Wu, Lejiang Guo
article en

Abstract

In order to explore the application of the emergence effect of swarm intelligence in the formation optimization of unmanned aerial vehicle (UAV), this study conducted an in-depth study on the control strategy of UAV formation by constructing a theoretical model based on the swarm intelligence and carrying out simulation experiments. By simulating the swarm behavior of organisms in nature, this study designed a UAV formation control strategy that can adapt to complex environments and task requirements. The results suggest that compared to the traditional centralized control method, the control strategy based on swarm intelligence emergence shows significant advantages in improving the task execution efficiency and enhancing the robustness of the system. This study not only provides a new theoretical support and technical path for the research and application of UAV formation flight technology, but also opens up a new horizon for the development and interdisciplinary application of swarm intelligence theory.

Openalex Percentile: Top 80%
Robotic Path Planning Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.