Controller Type-2 Fuzzy Logic – PSO Applied for Variable Speed Wind Turbines

This article presents a control strategy based on a type-2 fuzzy logic controller utilizing particle swarm optimization applied to the wind energy conversion system equipped with a permanent magnet generator. This type of controller can make more complex decisions and adapt to rapid changes in wind conditions. This leads to improved energy efficiency and extended turbine lifespan by reducing wear and mechanical stresses. Thus, the aim of using higher-level fuzzy controllers is to regulate the rotor mechanical speed error in order to enhance torque performance and output power. Simulation results obtained using Matlab/Simulink software and discussed in this work clearly demonstrate good performance in terms of rise time, settling time, and overshoot value.