Fuzzy SVM Inverter-Based Field-Oriented Control of a DFIG used in a Wind Turbine

This research paper presents an advanced control strategy for Doubly Fed Induction Generators (DFIGs) used in wind turbines (WT), focusing on the implementation of a Field-Oriented Control (FOC) method combined with a fuzzy space vector modulation (FSVM) inverter approach. The proposed FSVM inverter-based direct vector control aims to optimize the performance of the DFIG by reducing stator current harmonics and active and reactive power ripples under varying wind conditions. The control strategy utilizes the FSVM algorithm to enhance the voltage and current control of the system, ensuring improved dynamic performance and stability. The paper outlines the mathematical modeling of the DFIG system, the design of the FSVM-based control algorithm, and simulation results demonstrating the effectiveness of the approach in achieving higher efficiency and better system response compared to traditional control techniques.