4 papers
Observer-based neural networks for flow estimation and control
TarcÃsio C. Déda, William R. Wolf, Scott T. M. Dawson +1
Neural network observers (NNOs) are proposed for real-time estimation of fluid flows, addressing a key challenge in flow control: obtaining real-time flow states from a limited set…
Active flow control of vertical-axis wind turbines: Insights from large-eddy simulation and finite-time resolvent analysis
Lucas Feitosa de Souza, Renato Fuzaro Miotto, William Roberto Wolf
Active flow control is applied to improve the aerodynamic performance of a NACA0018 airfoil operating as a single-bladed vertical axis wind turbine (VAWT). Results computed by wall…
A sensor-restrained artificial shear diffusivity for large-eddy simulations of vortex-dominated compressible flows
Jean Hélder Marques Ribeiro, Hugo Felippe da Silva Lui, William Roberto Wolf
We propose a sensor-restrained model for the shear viscosity term within the localized artificial diffusivity (LAD) scheme to stabilize compressible large-eddy simulations with low…
Duty-cycle actuation for drag reduction of deep dynamic stall: Insights from linear stability analysis
Lucas Feitosa de Souza, William Roberto Wolf, Maryam Safari +1
A flow control framework based on linear stability analysis is proposed focusing on reducing the aerodynamic drag due to dynamic stall through a finite-window temporal actuation. T…