Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach
Deep Reinforcement Learning (DRL) has recently been proposed as a methodology to
discover complex active flow control strategies [Rabault et al.,“Artificial neural networks …
discover complex active flow control strategies [Rabault et al.,“Artificial neural networks …
Three flow features behind the flow control authority of DBD plasma actuator: Result of high-fidelity simulations and the related experiments
K Fujii - Applied Sciences, 2018 - mdpi.com
Both computational and experimental studies are conducted for understanding of the flow
separation control mechanism of a DBD (dielectric barrier discharge) plasma actuator. Low …
separation control mechanism of a DBD (dielectric barrier discharge) plasma actuator. Low …
Flow control methods and their applicability in low-Reynolds-number centrifugal compressors—a review
J Tiainen, A Grönman, A Jaatinen-Värri… - International Journal of …, 2017 - mdpi.com
The decrease in the performance of centrifugal compressors operating at low Reynolds
numbers (eg, unmanned aerial vehicles at high altitudes or small turbomachines) can reach …
numbers (eg, unmanned aerial vehicles at high altitudes or small turbomachines) can reach …
Unified mechanisms for separation control around airfoil using plasma actuator with burst actuation over Reynolds number range of 103–106
We conduct large-eddy simulations of separated airfoil flows with control by a dielectric-
barrier-discharge plasma actuator over a wide range of Reynolds numbers. The Reynolds …
barrier-discharge plasma actuator over a wide range of Reynolds numbers. The Reynolds …
Closed-loop flow separation control using the deep Q network over airfoil
The effectiveness of closed-loop flow control using a deep Q network (DQN), such as deep
reinforcement learning algorithm, was experimentally researched for a NACA0015 airfoil …
reinforcement learning algorithm, was experimentally researched for a NACA0015 airfoil …
Burst-mode frequency effects of dielectric barrier discharge plasma actuator for separation control
The various separation control mechanisms of burst-mode actuation with a dielectric barrier
discharge plasma actuator were experimentally investigated in this study. The control of the …
discharge plasma actuator were experimentally investigated in this study. The control of the …
[HTML][HTML] Dynamic mode decomposition using a Kalman filter for parameter estimation
A novel dynamic mode decomposition (DMD) method based on a Kalman filter is proposed.
This paper explains the fast algorithm of the proposed Kalman filter DMD (KFDMD) in …
This paper explains the fast algorithm of the proposed Kalman filter DMD (KFDMD) in …
Extended-Kalman-filter-based dynamic mode decomposition for simultaneous system identification and denoising
A new dynamic mode decomposition (DMD) method is introduced for simultaneous system
identification and denoising in conjunction with the adoption of an extended Kalman filter …
identification and denoising in conjunction with the adoption of an extended Kalman filter …
Quasi-stationary modeling of the DBD plasma flow control around airfoil
K Adamiak - Physics of Fluids, 2020 - pubs.aip.org
This paper presents the results of numerical simulation of a dielectric barrier discharge
(DBD) plasma actuator and shows its effectiveness to control air flow around the NACA …
(DBD) plasma actuator and shows its effectiveness to control air flow around the NACA …
Mechanisms for turbulent separation control using plasma actuator at Reynolds number of 1.6× 106
We have conducted large-eddy simulations of turbulent separated flows over a NACA0015
airfoil with control by a plasma actuator. The Reynolds number based on the chord length is …
airfoil with control by a plasma actuator. The Reynolds number based on the chord length is …