基于分散MPC的多无人机通信中继路径规划

Fabio Augusto de Alcantara Andrade, Christopher Dahlin Rodin, A. Hovenburg, T. Johansen, R. Storvold
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引用次数: 1

摘要

当在海上作业中使用自主水面车辆(ASV)时,长距离和/或低功率传输可能严重限制ASV与地面站之间的通信。克服这一障碍的一个解决方案是使用一组小型无人机系统(UAS)作为中继节点,以提供用户定义的最小通信能力。为了实现这一目标,我们提出了一种基于非线性模型预测控制的固定翼无人机分散合作多智能体系统,旨在保证固定翼无人机与地面站之间的信号强度。本研究的新颖之处在于纳入了飞机性能模型和风的影响,以及天线的方向性。通过仿真得到了该方法的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Path Planning of Multi-UAS Communication Relay by Decentralized MPC
When using Autonomous Surface Vehicles (ASV) in marine operations, long distances and/or low power transmissions may severely limit the communication between the ASV and the ground station. One solution to overcome this obstacle is to use a group of small Unmanned Aerial Systems (UAS) to act as relay nodes, in order to provide a user-defined minimum communication capability. To achieve this, we propose a decentralized cooperative multi-agent system using fixed-wing UAS with nonlinear model predictive control, which aims to guarantee a desired signal strength between the ASV and the ground station. The novelty of the presented research resides in the inclusion of the aircraft performance model and the effects of wind, together with the inclusion of the directivity of the antennas. Experimental results of the proposed method are obtained through simulations.
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