Evolutionary Multiobjective Optimization with Fractional Order Integral Objectives for the Pitch Control System Design of Wind Turbines

摘要

Evolutionary multiobjective optimization with fractional order objective functions is used for the tuning of three coupled control loops, which are part of the pitch control system of three-bladed, variable-speed, horizontal-axis large-sized wind energy converters. The first control loop is the collective pitch control (CPC). The second one is the active tower damping control (ATDC), which is used to damp tower oscillation due to the pitching activity. Finally, the third one is the active blade tip deflection damping control (ABDC) in the edgewise direction, which is proposed to mitigate blade oscillations. Simulation results by using the software FAST of a 20 MW reference turbine show that the tuning approach yields satisfactory performance for all control loops.