Dynamic Coupling and Intelligent Control of Offshore Floating Wind Power Platforms

This study delves into the dynamic coupling and intelligent control of offshore floating wind power platforms, leveraging a synergistic approach of field measurements and numerical simulations. Data were sourced from an operational platform in the North Sea and augmented with high-fidelity computational models developed using ANSYS AQWA. The research methodology encompassed data preprocessing, dynamic coupling analysis, intelligent control system design, and performance evaluation. The interaction between environmental forces (wind, waves, and currents) and the platform’s response (heave, pitch, and roll) was scrutinized through a coupled dynamic model. An intelligent control system, integrating a Proportional-Integral-Derivative (PID) controller with a fuzzy logic system, was devised to mitigate the platform’s motion. Performance metrics, including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Stability Index (SI), revealed substantial enhancements with the intelligent control system, achieving reductions in RMSE and MAE by up to 50% and an increase in SI by up to 25%. These findings highlight the efficacy of the proposed control strategy in bolstering stability and diminishing the dynamic response of offshore floating wind power platforms under diverse environmental conditions.