Performance Improvement of PMSG‐Based Wind Energy Systems via Sensorless FS‐Predictive Current Control With MRAS and MPPT‐OTC Integration

ABSTRACT This paper proposes a hybrid sensorless control strategy for a wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG). The approach integrates finite‐set predictive current control (FS‐PCC), a model reference adaptive system (MRAS) estimator and a maximum power point tracking algorithm based on optimal torque control (MPPT‐OTC) to achieve precise current regulation and efficient maximum power extraction without mechanical sensors. The FS‐PCC ensures fast and accurate stator current control with minimal ripple, whereas the MRAS provides reliable real‐time estimation of rotor speed and position using only current feedback. Experimental validation on a prototype using a controller demonstrates excellent performance, with rotor speed and position estimation errors below , a reduction in current ripple and near‐perfect electromagnetic torque convergence at and , both with less than deviation under various wind speed conditions and varying resistive loads (–. The proposed FS‐PCC‐MRAS‐MPPT‐OTC framework ensures robust, cost‐effective and highly dynamic sensorless operation for standalone wind energy systems.