Genetically Optimized Pitch Angle Controller of a Wind Turbine with Fuzzy Logic Design Approach

An important engineering challenge is the design of a wind turbine’s pitch angle controller. The dependability, safety, and power output maximization turbine are all impacted by this In study, 2 MW doubly fed induction generator blade controller with novel fuzzy logic tested in simulated environment. evolutionary algorithm technique used to optimize three inputs. A genetic specified for number coefficients. After optimization process, controller’s performance assessed terms output, overshoot, steady-state error characteristics.