Bioinspired artificial hair sensors for flight-by-feel of unmanned aerial vehicles: a review

AC Hollenbeck, R Grandhi, JH Hansen, AM Pankonien - AIAA Journal, 2023 - arc.aiaa.org
Flight-by-feel is an emerging approach to flight control that uses distributed arrays of
pressure, strain, and flow sensors to guide aircraft. Among these, hair-type flow sensors …

[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 …

Pressure feedback control of aerodynamic loads on a delta wing in transverse gusts

X He, DR Williams - AIAA Journal, 2023 - arc.aiaa.org
A feedback active flow control (AFC) scheme is studied for control of unsteady aerodynamic
loads that act on a generic tailless delta wing during transverse gust encounters. The …

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 …

Cluster-based Bayesian approach for noisy and sparse data: application to flow-state estimation

F Kaiser, G Iacobello, DE Rival - Proceedings of the …, 2024 - royalsocietypublishing.org
This study presents a cluster-based Bayesian methodology for state estimation under
realistic conditions including noisy data from sparse sensors. The proposed approach is …

Aerodynamic efficiency enhancement of delta wings for micro air vehicles using shape-optimization

B Bomjan Gurung, S Saha - Journal of Aircraft, 2023 - arc.aiaa.org
The performance of fixed-wing micro air vehicles (MAVs) is impaired due to their small size,
operating speeds, and altitude leading to limited lift, aerodynamic efficiency (lift-to-drag …

[HTML][HTML] Load estimation in unsteady flows from sparse pressure measurements: Application of transition networks to experimental data

G Iacobello, F Kaiser, DE Rival - Physics of Fluids, 2022 - pubs.aip.org
Inspired by biological swimming and flying with distributed sensing, we propose a data-
driven approach for load estimation that relies on complex networks. We exploit sparse, real …

Sparse reconstruction of surface pressure coefficient based on compressed sensing

X Zhao, Z Deng, W Zhang - Experiments in Fluids, 2022 - Springer
Wind tunnel test is an important means to obtain aerodynamic loads. However, due to the
limited space location and experimental cost, it is usually difficult to arrange enough …

FTLE and surface-pressure signature of dynamic flow reattachment during delta-wing axial acceleration

H Tu, M Marzanek, MA Green, DE Rival - AIAA journal, 2022 - arc.aiaa.org
An experimental investigation was conducted on the aerodynamics of an NACA0012 airfoil
wing with triangular planform geometry undergoing steady and axial accelerations at Re …

Aerodynamic state estimation from sparse sensor data by pairing Bayesian statistics with transition networks

F Kaiser, G Iacobello, DE Rival - AIAA SCITECH 2022 Forum, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-1669. vid Swimmers and flyers in
nature take advantage of distributed sensor feedback to control the interaction between the …