Finding Computationally Inexpensive Methods to Model the Flow Past Heavy Vehicles and the Design of Active Flow Control Systems for Drag Reduction

2014 ◽  
Author(s):  
David E. Manosalvas ◽  
Thomas D. Economon ◽  
Francisco Palacios ◽  
Antony Jameson
Keyword(s):  
Drag Reduction ◽  
Flow Control ◽  
Control Systems ◽  
Active Flow Control ◽  
Heavy Vehicles ◽  
Flow Past ◽  
Active Flow

Techniques for the Design of Active Flow Control Systems in Heavy Vehicles

2015 ◽  
Author(s):  
David E. Manosalvas ◽  
Thomas D. Economon ◽  
Francisco Palacios ◽  
Antony Jameson
Keyword(s):  
Flow Control ◽  
Control Systems ◽  
Active Flow Control ◽  
Heavy Vehicles ◽  
Active Flow

scholarly journals Reinforcement learning for bluff body active flow control in experiments and simulations

2020 ◽  
Vol 117 (42) ◽  
pp. 26091-26098
Author(s):  
Dixia Fan ◽  
Liu Yang ◽  
Zhicheng Wang ◽  
Michael S. Triantafyllou ◽  
George Em Karniadakis
Keyword(s):  
Reinforcement Learning ◽  
Fluid Mechanics ◽  
Drag Reduction ◽  
Flow Control ◽  
Bluff Body ◽  
Control Strategies ◽  
Active Flow Control ◽  
Reduction Process ◽  
Automatic Sequence ◽  
Active Flow

We have demonstrated the effectiveness of reinforcement learning (RL) in bluff body flow control problems both in experiments and simulations by automatically discovering active control strategies for drag reduction in turbulent flow. Specifically, we aimed to maximize the power gain efficiency by properly selecting the rotational speed of two small cylinders, located parallel to and downstream of the main cylinder. By properly defining rewards and designing noise reduction techniques, and after an automatic sequence of tens of towing experiments, the RL agent was shown to discover a control strategy that is comparable to the optimal strategy found through lengthy systematically planned control experiments. Subsequently, these results were verified by simulations that enabled us to gain insight into the physical mechanisms of the drag reduction process. While RL has been used effectively previously in idealized computer flow simulation studies, this study demonstrates its effectiveness in experimental fluid mechanics and verifies it by simulations, potentially paving the way for efficient exploration of additional active flow control strategies in other complex fluid mechanics applications.

scholarly journals Active Flow Control Systems Architectures for Civil Transport Aircraft

2010 ◽  
Vol 47 (6) ◽  
pp. 1966-1981 ◽  
Author(s):  
M. Jabbal ◽  
S. C. Liddle ◽  
W. J. Crowther
Keyword(s):  
Flow Control ◽  
Control Systems ◽  
Active Flow Control ◽  
Transport Aircraft ◽  
Systems Architectures ◽  
Active Flow
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