基于虚拟表面约束的分布式多无人机护盾编队

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Robotics and Autonomous Systems Pub Date : 2024-03-30 DOI:10.1016/j.robot.2024.104684
María Guinaldo , José Sánchez-Moreno , Salvador Zaragoza , Francisco José Mañas-Álvarez
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引用次数: 0

摘要

本文提出了一种部署无人驾驶飞行器(UAVs)多代理系统的方法,该系统可作为防护罩应用于基础设施保护领域。防护罩的形状被建模为三维空间中的四曲面。为了设计所需的编队(无人机之间的目标距离和相互连接),提出了一种算法,输入参数仅为四边形的参数化和系统的无人机数量。该算法保证了代理几乎均匀地分布在虚拟表面上,拓扑结构为 Delaunay 三角形。此外,还提出了一种新方法,用于检查生成的三角形是否满足该条件,并在本地执行。由于这种拓扑结构能确保形成是刚性的,因此提出了一种基于势函数梯度的分布式控制法则,以获得所需的屏蔽形状,并提供了稳定性证明。最后,模拟和实验结果表明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Distributed multi-UAV shield formation based on virtual surface constraints

This paper proposes a method for the deployment of a multi-agent system of unmanned aerial vehicles (UAVs) as a shield with potential applications in the protection of infrastructures. The shield shape is modeled as a quadric surface in the 3D space. To design the desired formation (target distances between agents and interconnections), an algorithm is proposed where the input parameters are just the parametrization of the quadric and the number of agents of the system. This algorithm guarantees that the agents are almost uniformly distributed over the virtual surface and that the topology is a Delaunay triangulation. Moreover, a new method is proposed to check if the resulting triangulation meets that condition and is executed locally. Because this topology ensures that the formation is rigid, a distributed control law based on the gradient of a potential function is proposed to acquire the desired shield shape and proofs of stability are provided. Finally, simulation and experimental results illustrate the effectiveness of the proposed approach.

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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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