Active Control of Boundary Layer Using a Neural Network and a Flapping Actuator
Abstract
This study deals with the active control of T-S (Tollmien-Schlichting) wave in a two-dimensional boundary layer over a flat plate using a neural network and a flapping actuator. The flapping actuator consists of a thin aluminum plate and a piezoelectric element bonded together. Microphones were used as sensors to measure the pressure fluctuation in the boundary layer. A neural network was used to control the piezoelectric actuator based on the pressure signals from the sensors. The experimental results shows that the T-S wave in the boundary layer can be successfully suppressed even when its phase, amplitude and frequency change with time.
- Publication:
-
Modern Physics Letters B
- Pub Date:
- 2005
- DOI:
- 10.1142/S0217984905009973
- Bibcode:
- 2005MPLB...19.1587Q
- Keywords:
-
- Tollmien-Schlichting wave;
- active control;
- neural network;
- flapping actuator;
- boundary layer