A novel sensorless fractional‐order control strategy for a doubly excited wind generator using fractional observer‐based speed estimation

Abstract This research presents a control strategy for a Doubly Excited Synchronous Generator (DESG) in wind energy systems, focusing on sensorless control and resilience in nonlinear dynamics. It combines fractional‐order control with an observer‐based speed estimation technique, ensuring convergence under nonlinearities via the Lipschitz condition. A fractional‐order proportional–integral (FOPI) controller enhances performance for maximum power point tracking (MPPT) and speed control. Numerical simulations demonstrate the technique's precision, robustness, stabilization, and energy efficiency, advancing sensorless control in DESG‐based systems for renewable energy applications.