Feedback Control of Flow Separation over Airfoil with Deep Reinforcement Learning in Numerical Simulation

2022 ◽  
Author(s):  
Naoki Takada ◽  
Tatsumasa Ishikawa ◽  
Takeru Furukawa ◽  
Hiroyuki Nishida
Keyword(s):  
Numerical Simulation ◽  
Reinforcement Learning ◽  
Feedback Control ◽  
Flow Separation ◽  
Control Of Flow

S056042 Feedback Control of Flow Separation on Windmill Blade by DBD Plasma Actuator FBG Sensor

2012 ◽  
Vol 2012 (0) ◽  
pp. _S056042-1-_S056042-5
Author(s):  
Takehiko SEGAWA ◽  
Yasuchika YUKI ◽  
Hiroyuki ABE ◽  
Tetsuhiko MAEDA ◽  
Satoshi OGATA ◽  
...  
Keyword(s):  
Feedback Control ◽  
Flow Separation ◽  
Plasma Actuator ◽  
Dbd Plasma ◽  
Fbg Sensor ◽  
Control Of Flow

Proportional Closed-Loop Feedback Control of Flow Separation

AIAA Journal ◽  
2007 ◽  
Vol 45 (1) ◽  
pp. 181-190 ◽  
Author(s):  
Jeremy T. Pinier ◽  
Julie M. Ausseur ◽  
Mark N. Glauser ◽  
Hiroshi Higuchi
Keyword(s):  
Feedback Control ◽  
Flow Separation ◽  
Closed Loop ◽  
Loop Feedback ◽  
Closed Loop Feedback ◽  
Control Of Flow

scholarly journals Feedback Control of Flow Separation Using Plasma Actuator and FBG Sensor

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Takehiko Segawa ◽  
Daiki Suzuki ◽  
Takayasu Fujino ◽  
Timothy Jukes ◽  
Takayuki Matsunuma
Keyword(s):  
Feedback Control ◽  
Flow Separation ◽  
Side Wall ◽  
Leading Edge ◽  
Plasma Actuator ◽  
Dbd Plasma ◽  
Pressure Surface ◽  
String Type ◽  
Fbg Sensor ◽  
Control Of Flow

A feedback control system for mitigating flow separation was developed by using a string-type dielectric-barrier-discharge (DBD) plasma actuator and a fiber Bragg grating (FBG) sensor. Tangential jets were induced from the string-type DBD plasma actuator, which was located at 5% chord from the leading edge of an NACA0024 airfoil. The FBG sensor was attached to the interior surface near the root of the cantilever beam modeled on the pressure surface of the airfoil. The strain at the cantilever root was reflected in the form of Bragg wavelengths (λB) detected by the FBG sensor when the cantilever tip was vibrated by the flow near the trailing edge of the airfoil. It was found that calculating running standard deviations in the Bragg wavelength (λB′) detected by the sensor was valuable for judging flow separation in real time. The feedback control of flow separation on the NACA0024 airfoil was successfully demonstrated by setting λB′=0.0028 with periodic flow separations generated in a wind tunnel by oscillating a side wall of the test section with frequency fw=0.42 Hz. It was confirmed that the appearance probability of flow separation tends to decrease with a decrease in the duration for calculating λB′ and with an increase in the duration of jet injection.

scholarly journals A Novel Approach to Feedback Control with Deep Reinforcement Learning

2018 ◽  
Vol 51 (18) ◽  
pp. 31-36 ◽  
Author(s):  
Yuan Wang ◽  
Kirubakaran Velswamy ◽  
Biao Huang
Keyword(s):  
Reinforcement Learning ◽  
Feedback Control ◽  
Novel Approach
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