在地面发动机测试条件下对无人机的结构振动分析
Sara Isabel González-Cabrera1, Nahum Camacho-Zamora1, Sergio-Raul Rojas-Ramirez2
1Engineering of the Construction and Habitat Faculty, Universidad Veracruzana, Boca del Río 94294, VER, Mexico.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
本研究介绍了一种低成本的系统,用于监测无人机 (UAV) 的振动. 它识别了关键的结构频率,有助于早期检测异常并提高无人机安全.
科学领域:
- 航空航天工程 航空航天工程
- 机械工程 机械工程
- 信号处理 信号处理
背景情况:
- 结构完整性和性能监测对于无人机至关重要.
- 传统的振动监测系统可能昂贵而复杂.
- 有效的无人机健康管理需要综合,实时的数据采集和分析.
研究的目的:
- 开发一个便携式,低成本的系统,用于集成无人机振动数据采集和分析.
- 识别无人机结构的自然频率和振动特征.
- 为商业振动监测设备提供一个可访问的替代方案.
主要方法:
- 使用了Raspberry Pi 4B与MCC128 DAQ HAT卡以及六个加速度计进行数据采集.
- 收集了2700 RPM的地面发动机测试数据.
- 处理振动数据使用卡尔曼波器,汉恩窗口函数和快速里埃转换 (FFT) 进行频率分析.
主要成果:
- 确定了第一和第二翼曲的自然频率,分别为12.3Hz和17.5Hz.
- 检测到一个显著的振动组件在23赫兹,一个推进系统频率的亚波 (大约. 45 Hz) 的频率.
- 发现最大的振动幅度集中在机翼尖和发动机附近.
结论:
- 拟议的系统为无人机振动监测提供了一个可访问和灵活的解决方案.
- 集成的采集,处理和实时可视化可促进结构异常的早期检测.
- 该系统通过改进结构健康监测来提高无人机的可靠性和安全性.
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