Neuro fuzzy control on horizontal axis wind turbine

To maintain the level of development renewable energy sources must step-in. One alternative is wind energy, it is a clean, stable and consolidated technology driven by the movement of air masses in the planetary boundary layer. This paper aims to optimized and select airfoil for a wind turbine of horizontal axis, using the Buhl’s methodology for the design and particle swarm for optimization. To further improve the performance a neuro fuzzy controller was implemented using the database generated with the simulations. The Neuro fuzzy controller was stable and reduce in approximately 10 m/s the wind speed required to reach 1 rad/s under 25 s, from 12 to 2.67 m/s, for low wind speeds the controller can reach 1 rad/s for 1.84 m/s at 250 s where the uncontrolled wind turbine needs 3.5 m/s. In addition,the controller yields have a better performance than 12 rad/s in conditions of low wind speeds and reduce in 8.77 during constant high wind speed.