Real-Time Implementation of a Robust Integral Sliding Mode Control for Dfig-Based Wecs with Ann-Based Mppt Using Ezdsp Tms320f28335 Under Real Wind Conditions

Mitigating the nonlinearity of high-rated wind energy conversion systems and their inherent parameter fluctuations remains a critical concern when boosting energy conversion capability, improving energy quality, and enabling effective grid integration. This paper introduces an advanced strategy for monitoring active and reactive powers in a Doubly Fed Induction Generator (DFIG)-based wind turbine using a robust Integral Sliding Mode Control (ISMC) technique. The proposed control method aims to ensure the optimal dynamic behavior of the system under fluctuating wind conditions. To address power fluctuations, an accurate MPPT algorithm built on an artificial neural network controller is introduced for precise speed monitoring. The effectiveness of the suggested ISMC is evaluated against other methods in the literature and with the Field Oriented Control technique incorporating a PI regulator (FOC_PI). The FOC_PI and the proposed control strategy are tested under MATLAB/Simulink using a 1.5 MW wind system. Then, by their implementation for a real-wind profile using the eZdsp TMS320F28335. Compared to the literature, the suggested ISMC achieves the lowest THD percentage for currents, along with fast response and rise times. Moreover, the experimental outcomes demonstrate that the ISMC outperforms the FOC_PI by providing enhanced reference tracking, higher accuracy, better dynamic behavior, and less current distortion.