Yasunaga Shun, Takahashi Hidetoshi, Takahata Tomoyuki, Shimoyama Isao
Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Department of Mechanical Engineering, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kouhoku-ku, Yokohama 223-8522, Kanagawa, Japan.
Micromachines (Basel). 2023 Oct 18;14(10):1941. doi: 10.3390/mi14101941.
Atmospheric pressure measurements based on microelectromechanical systems (MEMSs) can extend accessibility to altitude information. A differential pressure sensor using a thin cantilever and an air chamber is a promising sensing element for sub-centimeter resolution. However, its vulnerability to wind and the lack of height estimation algorithms for real-time operation are issues that remain to be solved. We propose a sensor "cap" that cancels the wind effect and noise by utilizing the airflow around a sphere. A set of holes on the spherical cap transmits only the atmospheric pressure to the sensor. In addition, we have developed a height estimation method based on a discrete transfer function model. As a result, both dynamic pressure and noise are suppressed, and height is estimated under a 5 m/s wind, reconstructing the trajectory with an estimation error of 2.8 cm. The developed sensing system enhances height information in outdoor applications such as unmanned aerial vehicles and wave height measurements.
基于微机电系统(MEMS)的大气压力测量可以扩大获取海拔信息的途径。一种使用薄悬臂梁和空气腔的差压传感器是实现亚厘米分辨率的有前景的传感元件。然而,它对风的敏感性以及缺乏用于实时操作的高度估计算法仍是有待解决的问题。我们提出一种传感器“帽”,通过利用球体周围的气流来消除风的影响和噪声。球形帽上的一组孔仅将大气压力传递给传感器。此外,我们还开发了一种基于离散传递函数模型的高度估计方法。结果,动压和噪声均得到抑制,并且在5米/秒的风速下能够估计高度,轨迹重建的估计误差为2.8厘米。所开发的传感系统增强了在诸如无人机和波高测量等户外应用中的高度信息。