Redirigiendo al acceso original de articulo en 19 segundos...
Inicio  /  Applied Sciences  /  Vol: 13 Par: 22 (2023)  /  Artículo
ARTÍCULO
TITULO

UAV Swarm Mission Planning and Load Sensitivity Analysis Based on Clustering and Optimization Algorithms

Yongzhao Yan    
Zhenqian Sun    
Yueqi Hou    
Boyang Zhang    
Ziwei Yuan    
Guoxin Zhang    
Bo Wang and Xiaoping Ma    

Resumen

Unmanned aerial vehicle (UAV) swarms offer unique advantages for area search and environmental monitoring applications. For practical deployments, determining the optimal number of UAVs required for a given task and defining key performance metrics for the platforms and payloads are crucial challenges. This study aims to address mission planning and performance optimization for cooperative UAV swarm search scenarios. A new clustering algorithm is proposed, integrating enhanced clustering techniques with ant colony optimization, particle swarm optimization, and crow search optimization. This jointly optimizes and validates the UAV numbers and coordinated trajectories. Sensitivity analysis and indicator optimization further examine specific scenarios to quantify platform and sensor factors influencing search efficiency. Lastly, sensitivity analysis and performance indicator optimization are conducted in specific scenarios. The modular algorithmic components and modeling techniques established in this work lay a foundation for continued research into real-world mission-based swarm optimization.

 Artículos similares

       
 
Anirudh Warrier, Saba Al-Rubaye, Gokhan Inalhan and Antonios Tsourdos    
Integrating autonomous unmanned aerial vehicles (UAVs) with fifth-generation (5G) networks presents a significant challenge due to network interference. UAVs? high altitude and propagation conditions increase vulnerability to interference from neighbouri... ver más
Revista: Aerospace

 
Ahsan Tanveer and Sarvat Mushtaq Ahmad    
Pitch control of an unmanned aerial vehicle (UAV) using fluidic thrust vectoring (FTV) is a relatively novel technique requiring no moving control surfaces, such as elevators. In this paper, the authors? previous work on the characterization of a static ... ver más
Revista: Aerospace

 
Minglei Du, Haodong Zou, Tinghui Wang and Ke Zhu    
A passive localization algorithm based on UAV aerial images and Angle of Arrival (AOA) is proposed to solve the target passive localization problem. In this paper, the images are captured using fixed-focus shooting. A target localization factor is define... ver más
Revista: Aerospace

 
Yanxiang Yang, Xiangyin Zhang, Jiayi Zhou, Bo Li and Kaiyu Qin    
Functional topology shaping is crucial for unmanned aerial vehicles (UAVs) swarm applications, such as remote sensing, precision agriculture, and emergency wireless communication. However, the current research on topology shaping is mostly based on the a... ver más
Revista: Applied Sciences

 
Xiaorong Zhang, Wenrui Ding, Yufeng Wang, Yizhe Luo, Zehao Zhang and Jing Xiao    
Swarm control has become a challenging topic for the current unmanned aerial vehicle (UAV) swarm due to its conflicting individual behaviors and high external interference. However, in contrast to static obstacles, limited attention has been paid to the ... ver más
Revista: Aerospace