Electromagnetic and Electronic Aerospace Conformal Load-Bearing Smart Skins: A Review

G Beziuk, A Krajewski, TC Baum… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Multifunctional composite structures (MFCS) have become an increasingly important field of
research with the large-scale adoption of composite materials in many industrial sectors …

[HTML][HTML] Leading-edge flow sensing for detection of vortex shedding from airfoils in unsteady flows

A Saini, S Narsipur, A Gopalarathnam - Physics of Fluids, 2021 - pubs.aip.org
Sensing of vortex shedding in unsteady airfoil flows can be beneficial in controlling and
positively harnessing their effects for increased aerodynamic performance. The time …

Aerodynamic state and loads estimation using bioinspired distributed sensing

SA Araujo-Estrada, SP Windsor - Journal of Aircraft, 2021 - arc.aiaa.org
Flying animals exploit highly nonlinear dynamics to achieve efficient and robust flight
control. It appears that the distributed flow and force sensor arrays found in flying animals …

Flexible flow sensors-enabled intelligent life

Z Ma, D Shen - Journal of Micromechanics and Microengineering, 2024 - iopscience.iop.org
In our daily life, flexible flow sensors endow us with a'sixth sense'capability, ie'touch'the
fluids, improving living quality. Although there are kinds of flexible flow sensors developed to …

Distributed pressure sensing–based flight control for small fixed-wing unmanned aerial systems

KT Wood, S Araujo-Estrada, T Richardson… - Journal of Aircraft, 2019 - arc.aiaa.org
Small fixed-wing unmanned aerial systems (UAS) may require increased agility when
operating in turbulent wind fields. In these conditions, conventional sensor suites could be …

Sparse pressure-based machine learning approach for aerodynamic loads estimation during gust encounters

D Chen, F Kaiser, JC Hu, DE Rival, K Fukami, K Taira - AIAA Journal, 2024 - arc.aiaa.org
Estimation of aerodynamic loads is a significant challenge in complex gusty environments
due to the associated complexities of flow separation and strong nonlinearities. In this study …

Parallel crosschecking neural network based fault-tolerant flight parameter estimation and faulty sensor identification

W Zou, N Li, B Wang, K Wang, S Bu, M Zhou… - … Applications of Artificial …, 2023 - Elsevier
Reliable flight parameter estimation is crucial for the safe operation of unmanned air
vehicles. Recent studies on flight parameter estimation based on distributed airflow sensors …

Review of microscale flow-sensor-enabled mechanosensing in small unmanned aerial vehicles

A Mark, Y Xu, BT Dickinson - Journal of Aircraft, 2019 - arc.aiaa.org
SMALL unmanned aerial vehicles (SUAVs) are “unmanned aerial vehicles small enough to
be man-portable”[1] and weigh less than 25 kg [2]. Their salient features include light weight; …

Machine-Learning-Enhanced Real-Time Aerodynamic Forces Prediction Based on Sparse Pressure Sensor Inputs

J Duan, Q Wang, JS Hesthaven - AIAA Journal, 2024 - arc.aiaa.org
Accurate real-time prediction of aerodynamic forces is crucial for the navigation of
unmanned aerial vehicles (UAVs). This paper presents a data-driven aerodynamic force …

Seeing with sound; surface detection and avoidance by sensing self-generated noise

S Wilshin, S Amos… - International Journal of …, 2023 - journals.sagepub.com
Here, we demonstrate obstacle and secondary drone avoidance capability by quadcopter
drones that can perceive and react to modulation of their self-generated acoustic …