Model predictive control of wind turbine with aero-elastically tailored blades

Abstract The use of aero-elastically tailored blades (ATB) for large wind turbines has shown the benefit mitigating blade loads, in a passive adaptive manner, with design bend-twist coupling (BTC) along blades. BTC makes torsionally flexible and capable adapting to different speeds. However, such increased flexibility turbine modeling computationally demanding real-time controller more challenging. In this work, include ATB effect into model control, twofold characteristics is proposed. First static distribution added aerodynamics account blade’s pre-bend-twist design, next second-order transfer function introduced approximate structural dynamic response speed variations. nonlinear whole built up Simulink, linearized discretized state-space form. A predictive (MPC) developed actuator constraints considered. Simulation studies are conducted on 5MW at selected above-rated speed. simplified control assessed performance MPC compared gain-scheduling baseline controller.