Neuro-scond Order Sliding Mode Field Oriented Command for DFIG Based Wind Turbine

Abstract

Wind energy has many advantages because it does not pollute and is an inexhaustible source of energy. The Double Fed Induction Generator (DFIG) is one of the most important generators used for Horizontal Axis Wind Turbine (HAWT). The DFIG stator is linked directly to the grid, whilst the DFIG rotor is coupled via an electronic converter. In this article, a discrete-time Neural Scond Order Sliding Mode (NSOSM) Field Oriented Control (FOC) for DFIG stator active and reactive powers command is proposed. The adaptive nature of the proposed regulator improves the transient response as compared with discrete-time Conventional Second Order Sliding Mode Control (SOSMC) for DFIG parameters variations and disturbances. The proposed regulator is based on a Neural Network (NN), using fuzzy space vector modulation (FSVM) strategy. The NN works as an identifier to obtain an accurate model, which is robust against disturbances and parameter variations. A comparison between SOSMC with pulse width modulation (PWM) and NSOSMC with FSVM is included. The validity and the effectiveness of the proposed regulator are tested using Matlab/Simulink simulation results.