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Flight Parameter Detection via a Pressure-Velocity Fusion Algorithm with a Flexible Sensing Patch

Authors: Zhichao Ma; Yingli Shi; Guozhen Shen

DOI: 10.1007/s40843-025-3866-yStatus: Verified Translated Edition
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Key Findings in This Report

• • The flexible sensing patch integrates a capacitive differential pressure sensor array and a vector flow sensor, enabling simultaneous measurement of AOA, AOS, and airspeed in a single device, overcoming the integration limitations of rigid sensors. • • The dual-layer capacitive differential pressure sensor achieves a resolution of 12 mPa within the low-pressure range of 0–1 Pa, demonstrating superior sensitivity and linearity compared to traditional single-layer sensors, critical for detecting subtle pressure changes at leading edges. • • The PVF algorithm introduces spanwise velocity (Vz) based on the classic three-sensor algorithm, decoupling AOA and AOS and reducing computational complexity, which is essential for real-time flight control in miniaturized UAVs. • • CFD simulations validated the PVF algorithm's reliability under wind tunnel conditions, confirming its potential for high-precision flight parameter detection in complex aerodynamic environments.