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MODEL-BASED PREDICTIVE CONTROL METHOD FOR STRUCTURAL LOAD REDUCTION IN WIND TURBINES
WO21224532
Model-based predictive control method (MPC) for the reduction of structural load in wind turbines, comprising: exclusively proposing a single linear internal model for the MPC for the entire operating range of the turbine; obtaining the adjustable parameters of the linear internal model from the experimental data previously measured in the turbine; choosing the discrete time values for the control and prediction horizons; adjusting the MPC controller and performing a practical implementation test.
By means of a simple software actualization for the generator controller, this method offers a reduction of about 35 % in the torsional load of the turbine’s shaft and gearbox. Furthermore, the load mitigation may reach 80 %, if the wind turbine has a effective wind previewing (LIDAR) system. Well-suited for large offshore wind turbines: • Gearboxes fault prevention. • Low computational load. • No additional hardware needed. • Easy constraints management. NOVELTY/ADVANTAGE: Very high performance without high computational load. Nor additional hardware needed