DFIG wind turbine control despite the uncertainties in the model using high-order adaptive sliding

Abstract

In this paper, a nonlinear multivariate model for wind turbines is considered. Due to the increasing need for energy and limitation in fossil fuels, wind speed turbines vary widely, despite their high costs in power plants, so it is essential to achieve maximum efficiency and maintain their sustainability. For this purpose, a variable speed winding turbine system is modeled with a dual power generator modeled in this uncertain system, such as variations in wind speed and uncertainty in modeling and parameter values. In order to improve the behavior of system outputs in the unstructured presence of uncertainties, a controller is designed using a sliding mode of the terminal to reduce the system shifting by combining the adaptive modeling theory to deal with the indeterminate parameters and control signal smoothing. In this method, the combination of interest is designed adaptively, and is independent of the boundary of the indefinite and independent determinants. Finally, simulation of the results has been done using MATLAB software. The simulation results show the proper performance of the proposed controller in an uncertain presence compared to other methods.