The present internship intends to address data-driven control for aerodynamics purpose, especially for improving Wind Farms efficiency.
The objective of this internship is to implement data-driven control laws using flow velocity sensors in a wind tunnel for targeting specific flow behavior. A first step is to address the open-loop implementation in the active grid motors internal environment using Matlab/Simulink. Then, the data-driven indirect and direct control laws will be implemented to perform closed-loop control in the wind tunnel. The choice of the most relevant sensors output information (fluctuating velocity, spectral information, etc...) will be investigated for improving the output feedback control performances.
More details are given in the enclosed pdf.
