Spatial Iterative Learning Control for Pitch of Wind Turbine

Abstract

This paper investigates a PD-type spatial iterative learning control (SILC) method for the wind turbine pitch control system in order to maintain the stationary output power constant with the wind speed increase in region 3. The pitch control system is considered as the repetitive operation system, then the temporal domain linear time-invariant pitch control system transforms to a spatial domain linear spatial-variant pitch control system, the PD-type SILC algorithmic generates the upgraded pitch angle control inputs by compensating for the initial input with proportional and derivative actions based on the tracking error between the desired output rotor speed and the measured rotor speed in real time. By adopting the Lebesgue-p norm and the generalized Young inequality of convolution integral, the convergence of the PD-type SILC for pitch control system is derived. Finally, some numerical simulations are presented to verify the effectiveness and validity of the SILC in wind turbine pitch control system.