Gain scheduling controller design for wind systems using a data driven algorithm

Abstract

The paper presents a data-based synthesis method for power control algorithm of a wind turbine in full-load operating region, within a general strategy of gain scheduling type. The proposed method is based on the existence of several efficient solutions for the generation of a detailed mathematical model for a high-power wind system that by its simulation in different operating regimes can provide the necessary data obtained for the design procedure. The synthesis of the control algorithm is based on the construction of a dynamic compensator which can quickly provide the parameters of a PI control law for the rotational speed loop. In the paper the effects of the drive train torsional vibrations in the controller synthesis are analyzed by numerical simulation. Some results obtained with the gain-scheduling control approach are also presented.