在反响环境中对机动无人机噪声进行调查
R Zamponi1,2, G Gioli Torrione1, V Zůbek1,3
1Department of Environmental and Applied Fluid Dynamics, von Karman Institute for Fluid Dynamics, Waterloosesteenweg 72, B-1640 Sint-Genesius-Rode, Belgium.
The Journal of the Acoustical Society of America
|June 18, 2025
概括
这项研究解决了室内测试大厅中的无人机噪音,使用分阶阵列技术去除反响. 这种方法有助于识别关键的音调噪声源,改善无人机航空声学研究.
科学领域:
- 声学 声学 在声学上.
- 航空航天工程 航空航天工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 无人驾驶飞行器 (UAV) 的扩散需要了解它们的航空声学,以减少噪音的烦.
- 室内测试大厅为无人机测试提供受控环境,但受到反响的影响,使声学测量复杂化.
- 运动捕捉系统可以在这些设施中精确跟踪复杂的无人机机动作轨迹.
研究的目的:
- 在一个声学未经处理的室内测试大厅内调查四旋翼无人机机动作的航空声学.
- 提出和验证一种新的方法来消除无人机噪声测量的反响效应.
- 通过减轻声反射来增强无人机噪声光谱的分析,特别是音调贡献.
主要方法:
- 实施阶段式阵列技术,结合量身定制的Green's功能来降低噪声反响.
- 在一个大型室内测试大厅内,从一个机动四旋翼无人机记录声学数据.
- 利用高精度的运动捕捉系统,在测量过程中准确地跟踪无人机的轨迹.
主要成果:
- 拟议的消声方法有效地过了由声音反射引起的虚假宽带噪声.
- 发现噪声频谱中的音调贡献,特别是叶片传递频率,受到无人机操作和方向的显著影响.
- 确定了与不同飞行阶段不同转子速度相关的叶片传递频率的明显变化.
结论:
- 分析无人机轨迹对于准确解释噪音辐射模式至关重要.
- 开发的消声技术有助于更清晰的可视化和音调噪声组件的跟踪.
- 这项研究提供了一种有价值的方法,用于提高无人机在反响室内环境中的空气声学测量的质量.
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