Hybrid Optimized Fuzzy Pitch Controller of a Floating Wind Turbine with Fatigue Analysis

Floating offshore wind turbines (FOWTs) are systems with complex and highly nonlinear dynamics; they subjected to heavy loads, making control classical strategies a challenge. In addition, experience vibrations due waves. Furthermore, the of blade angle itself may generate vibrations. To address this issue, in work we propose design an intelligent system based on fuzzy logic maintain rated power FOWT while reducing A gain scheduling incremental proportional–derivative controller is tuned by genetic algorithms (GAs) combined fuzzy-lookup table pitch reference. The gains optimized GA stored database ensure proper operation for different wave conditions. software Matlab/Simulink simulation tool FAST used. latter simulates dynamics real 5 MW barge-type irregular hybrid strategy has been evaluated against reference baseline embedded environmental scenarios. comparison assessed terms output structure stability, up 23% 33% vibration suppression rate tower top displacement platform pitch, respectively, new scheme. Fatigue damage equivalent load (DEL) blades also estimated satisfactory results.