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.
KeywordsWind turbine Neuro fuzzy Fuzzy logic controller Wind energy Aerodynamic optimization Renewable energy Green energy
The authors acknowledge support by CNPq, CAPES, FAPESP and FA, all Brazilian research funding agencies.
Compliance with ethical standards
Conflicts of interest
The authors declare that they have no conflict of interest.
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