Adaptive output feedback controller for wind turbine generators using neural networks

An adaptive output feedback controller using neural networks for improving the dynamic stability of a wind turbine generator supplying an infinite bus through a transmission line under widely varying conditions is presented. The need for adaptive output feedback comes from the fact that the wind turbine operates over a range of operating points, some of which are unstable; hence, no single output feedback controller gains are sufficient for the entire operating range. Neural networks are used for on-line prediction of the suitable gains for the output controller when the operating point changes. Simulation results are included to demonstrate the performance of the proposed control scheme.