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Compact Sphere-Shaped Airflow Vector Sensor Based on MEMS Differential Pressure Sensors.

Kotaro Haneda¹, Kenei Matsudaira¹, Ryusuke Noda²

¹Department of Mechanical Engineering, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kouhoku-ku, Yokohama 223-8522, Japan.

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|February 15, 2022

Summary

This study introduces a compact spherical airflow sensor for drones to improve flight stability. The novel microelectromechanical system (MEMS) sensor accurately measures wind velocity and direction, crucial for drone navigation in variable weather conditions.

Keywords:

airflow vector sensor differential pressure sensor drone stability

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Area of Science:

Aerospace Engineering
Sensor Technology
Robotics

Background:

Drones are increasingly vital in industrial applications, but flight stability, especially in compact models, remains a challenge.
External wind disturbances significantly impact drone maneuverability and safety.
Direct airflow measurement is needed for real-time flight control adjustments.

Purpose of the Study:

To develop and evaluate a compact, lightweight, and highly sensitive airflow vector sensor for drones.
To enable drones to detect and respond to crosswinds and other air currents for enhanced stability.

Main Methods:

A spherical housing integrating three microelectromechanical system (MEMS) differential pressure (DP) sensor chips was designed.
The sensor elements were configured to measure 2D wind direction and velocity.
The fabricated sensor was mounted on a small drone for flight testing.

Main Results:

The sensor successfully measured horizontal wind velocity and direction when applied via a fan to a flying drone.
Experimental data confirmed the sensor's output correlated with applied wind conditions.
The sensor demonstrated its capability to provide real-time airflow data during drone operation.

Conclusions:

The proposed compact spherical airflow sensor is effective for drones.
This technology can significantly contribute to improving drone flight stability and control.
Direct airflow measurement offers a pathway for more robust drone navigation in complex environments.