An Adaptive Nonlinear Controller for DFIM-Based Wind Energy Conversion Systems

Abstract

An adaptive nonlinear controller for wind energy doubly fed induction machines is introduced in this paper. The proposed controller is based on the feedback linearization technique and includes a disturbance observer for estimation of parameter uncertainties. Estimated uncertainties values are injected in order to construct the control law, improving in this way the system’s performance. The controller behavior, when tracking power references, is tested with realistic Electromagnetic Transients for dc /Power Systems Computer-Aided Design simulations. In addition, the controller performance is checked in the presence of parameter uncertainties and nearby faults.