基于MEMS压力传感器的无人机空速测量方法的设计
Zhipeng Chen1, Haojie Li1, Hang Yu1
1School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
这项研究提出了一种新的方法,用于使用压力和温度数据精确测量无人机 (UAV) 飞行速度. 该技术提高了准确性和抗干扰性,以实现可靠的无人机控制.
科学领域:
- 航空航天工程 航空航天工程
- 传感器技术 传感器技术
- 控制系统 控制系统
背景情况:
- 准确的空速测量对于无人机飞行控制和稳定性至关重要.
- 传统方法可能容易受到环境因素和传感器限制的影响.
研究的目的:
- 为无人机开发一种高精度,抗干扰的空速测量方法.
- 建立一个可靠的数据处理技术,用于间接的空速计算.
主要方法:
- 建立了一种用于测量空速的数学模型,其中包含压力和温度传感器.
- 使用金属管的机械过器被实施以减轻流场干扰.
- 为自适应式噪声估计和数据处理开发了一种改进的自回归智能Husa Kalman过器 (AR-SHAKF) 算法.
主要成果:
- 拟议的方法有效地以高精度计算空气速度.
- 该系统表现出强大的抗干扰性,验证了它的稳定性.
- 一个基于MEMS压力传感器的低复杂度空气速度测量装置成功设计.
结论:
- 开发的空速测量技术和设备为无人机应用提供了卓越的解决方案.
- 机械过和增强的AR-SHAKF算法的组合显著提高了测量精度和可靠性.
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