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- W4206006008 abstract "The effectiveness of the Deep Reinforcement Learning (DRL) was experimentally shown in the flow separation control over an airfoil using a plasma actuator. The objective of this study is to obtain the knowledge about effective flow sensor potion for the DRL-based flow separation control over an airfoil. For this purpose, the flow separation control based on the DRL is performed in the computational fluid dynamics (CFD) simulation, and the data area focused by the neural network of the DRL is visualized utilizing the Attention Branch Network (ABN). As a result, it is clarified that the surface pressure sensor at the leading edge is more important, and in addition, the temporal change in the pressure is detected for determining the control action of the plasma actuator." @default.
- W4206006008 created "2022-01-25" @default.
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- W4206006008 date "2022-01-03" @default.
- W4206006008 modified "2023-10-14" @default.
- W4206006008 title "Feedback Control of Flow Separation over Airfoil with Deep Reinforcement Learning in Numerical Simulation" @default.
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- W4206006008 doi "https://doi.org/10.2514/6.2022-1365" @default.
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