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              <p>Cross-flow tidal turbines tend to experience dynamic stall and vibration due to their varying and, depending on the operating point, very high angles of attack. These phenomena can cause persistent damage to the structure due to material fatigue and significantly reduce performance.This dynamic stall problem can only be solved by passive or active flow control.Experimental optimization methods were used to determine the optimal control of blade motion. To do this, an evolutionary algorithm was coupled with a fully automated experiment. The turbine was equipped with embedded actuators to adjust the blade position according to the azimuth angle of the rotor, with high dynamics and an operating range of 60° peak-to-peak. A free-surface flume model was developed with a diameter of 400 mm and a height of 400 mm. This design has low Reynolds numbers, ranging from 50,000 to 150,000 under tunnel operating conditions.The design space was explored autonomously by the tidal turbine. After evaluating 500 configurations, it learned, after five hours, the best calibration law to maximize its efficiency. For the scale model, efficiency nearly doubled.</p>
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