Multi-UAV identity recognition method based on signal coil
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Abstract:
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.
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Supported by Autonomous Region Key R&D Project: Research and Development (Guike AB19245041), and Key Technology Project of China Southern Power Grid Corporation（GXKJXM20190605）.
