Performance enhancement of PMSG-based WECS using robust adaptive fuzzy sliding mode control

This study aims to propose an adaptive fuzzy sliding mode control (AFSMC) method to address the critical issue of enhancing the power extraction of a large-scale permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS) in the presence of unknown dynamics, uncertain perturbations and actuator faults. To do this, a modified dynamical model of the PMSG-based WECS is established to capture unsteady dynamics and uncertainties. Next, the novel robust sliding mode reaching law-based speed control is designed to achieve fast convergence and enhance output power by tracking the optimum rotation speed under various wind scenarios. At the same time, the adaptive fuzzy technique is designed to estimate and compensate for unstable dynamics and uncertainties in large-scale WECS, enabling efficient power extraction. Then, the proposed AFSMC stability conditions are derived using suitable Lyapunov functions. Finally, the superiority of the proposed AFSMC scheme is confirmed via simulation using 1.5 MW PMSG-based WECS under diverse wind patterns. Additionally, the applicability of the proposed scheme is validated through experimentation on a prototype of a 5 kW PMSG-based WECS considering actuator fault, unsteady dynamics, and diverse wind speed conditions.