Pitch Control of Wind Turbine Blades Using Fractional Particle Swarm Optimization

To achieve the maximum power from wind in variable-speed regions of turbines (WTs), a suitable control signal should be applied to pitch angle blades. However, available uncertainty modeling WTs complicates calculations these signals. cope with this problem, an optimal controller is suitable, such as particle swarm optimization (PSO). improve performance controller, fractional order PSO (FPSO) proposed and implemented. In construct approach for two-mass WT, we propose new state feedback, which was first turbine. The idea behind feedback based on Taylor series. Then, linear model obtained input signal. Thereafter, conventional (CPSO) FPSO were used controllers resulting model. Finally, comparison performed between CPSO fuzzy Takagi–Sugeno–Kang (TSK) inference system. provided demonstrates advantages series combination controllers. Notably, without CPSO, FPSO, TSK systems cannot stabilize tracking desired trajectory.