电力巡检应用中低噪声无人机旋翼降噪验证

Verification of Low Noise Unmanned Aerial Vehicle Rotor Noise Reduction in Power Inspection Applications

在电力巡检任务中,无人机因高效性和灵活性而被广泛应用,但噪声问题依然是亟待解决的挑战。采用波束成形技术对一种新型环形结构旋翼进行声源定位和降噪性能验证,通过噪声频谱分析和基于麦克风阵列的虚拟旋转阵列波束成形算法,对环形旋翼和其他三种常见叶型旋翼的噪声进行了对比研究。实验结果表明,环形旋翼在宽频和单频噪声上均表现出显著的降噪效果。波束成形分析结果进一步揭示,常见叶型旋翼的主要噪声源自叶尖,而环形设计能够有效减弱叶尖噪声,从而实现降噪。

Unmanned aerial vehicles(UAVs)are widely used in power line inspection tasks due to their efficiency and flexibility.However,noise remains a critical challenge that needs to be addressed.This study employs beamforming technology to perform noise source localization and validate the noise reduction performance of a low-noise toroidal structure propeller.Through noise spectrum analysis and a virtual rotating array beamforming algorithm based on a microphone array,the noise of the toroidal propeller is compared with that of three other common propellers.Experimental results show that the toroidal propeller exhibits significant noise reduction in both broadband and tonal noise.Beamforming analysis further reveals that the primary noise source of common propellers originates from tips,while the toroidal design effectively mitigates tip noise,achieving noise reduction.