Wind turbines are sophisticated machines designed to harness the raw power of the wind and convert it into electrical energy. Developing a controller for wind turbines is a challenging task due to their complex nature. Their operation is indeed influenced by turbulent external winds and characterized by nonlinear dynamics dictated by aerodynamics. The state of the art in wind turbine control employs classical controllers, but recently the community started to explore AI solutions to improve their performances. This thesis focuses on the development and benchmarking of such control techniques. It articulates on both numerical and experimental phases. On the numerical side, a custom-built Python environment is developed to simulate the behavior of different controllers.