基于信号线圈的多无人机身份识别方法研究

无线电能传输技术摆脱了物理介质的束缚，具有灵活、可靠、安全等优点，在无人机领域应用越来越广泛。无人机无线充电系统中常采用的Zigbee、蓝牙、WiFi等广域通信方式接入时间较长，存在非“点对点”传输情况，不具备身份识别功能，无法应对多无人机及多机舱环境。提出了一种基于信号线圈的多无人机身份识别方法，仿真研究2套耦合机构之间交叉耦合影响，设计了一套应用于多无人机及机舱环境下能量信号同步传输的无线电能传输系统。最后搭建了无人机无线电能传输系统进行实验验证，实验结果表明基于信号线圈可以快速有效进行无人机及机舱的身份识别，可识别无人机身份的点对点近场通信方式以应对多无人机无线充电场景，能量信号同步传输的分离通道传输模式具有两通道物理结构独立，避免传统通信方式干扰，保障充电的安全性与可靠性。。

Multi-UAV identity recognition method based on signal coil

Wireless power transfer technology has freed itself from the constraints of physical media and has advantages such as flexibility, reliability and security, making it increasingly widely used in the field of unmanned aerial vehicles (UAVs). However, the commonly used wide area communication methods in UAV wireless charging systems, such as Zigee, bluetooth, and WiFi, present challenges in terms of lengthy access time, non point-to-point transmission and limited identity recognition capabilities. These limitations make it difficult to cope with multiple UAVs and cabin environments effectively. In this paper, a multi-UAV identification method based on signal coils is proposed. This study involves simulating and examining the cross-coupling effect between two sets of coupling mechanisms. Additionally, a wireless power transfer system is designed to enable synchronous transmission of power and signal in multi-UAV and cabin environments. Finally, an experimental UAV wireless power transfer system is constructed for verification. The experimental results show that UAVs and cabin can be quickly and effectively identified based on signal coils. The point-to-point near-field communication method that can identify UAVs can be used to cope with multiple UAV wireless charging scenarios. The separated channel transmission mode of power and signal synchronous transmission adopts two independent physical structures, thereby avoiding interference from traditional communication methods. This approach ensures the safety and reliability of charging processes.