A robust approach to an adaptive gain sliding mode controller based on MRAC of a wind power conversion system based on a DFIG

This paperpresents a direct power control (DPC) method using an adaptive reference model, known as Model Reference Adaptive Control (MRAC), for the Doubly Fed Induction Generator (DFIG). This approach addresses to get over the drawbacks of the classic DPC, which relies solely on PID controllers. These limitations are often addressed with the compromise speed/efficiency trade-off and divergence from peak power in the event of rapid variation in wind speed. The Doubly Fed Induction Generator (DFIG) mathematical equations in the d-q reference frame are provided. Subsequently, a direct power control (DPC) algorithm is developed for controlling of the DFIG, employing PID controllers, along with space vector modulation (SVM) to maintain a steady switching frequency. The Maximum Power Point Tracking (MPPT) technique keeps the stator side power factor at unity level. The conventional PID controllers are replaced with Model Reference Adaptive Control (MRAC) in the DPC framework. Furthermore, the efficacy of DPC-based MRAC is assessed and contrasted with that of the PID controller. Results from robustness tests conducted in the MATLAB/Simulink environment demonstrate that MRAC exhibits efficiency, superior dynamic performance, and enhanced robustness against parameter variations.