Design of Advanced Passivity-Fuzzy Logic Controller Compared to Control Techniques for Doubly-Fed Induction Generator in Wind Energy Conversion System

This paper presents a new passivity-fuzzy logic control strategy for a doubly-fed induction generator (DFIG) within a wind energy conversion system (WECS). The strategy addresses the high uncertainty of complex nonlinear systems by combining interconnection and damping assignment (IDA) passivity-based control (PBC) with interval type-2 fuzzy logic control (IT2-FLC). IDA-PBC compensates for nonlinearities without eliminating them, and IT2-FLC enhances uncertainty handling by managing vagueness and unreliable data. The proposed method effectively regulates the flow of active and reactive power to the grid, adapts to varying generator parameters, and achieves accurate reference tracking, thereby ensuring stable operation. A comprehensive comparative analysis of four controllers is presented, evaluating their performance under varying wind speeds (WS) and parameter uncertainties. Performance is assessed using criteria such as response time, reference tracking, power ripple, time-integrated error metrics, and robustness. The findings show that the suggested passivity-fuzzy logic control method outperforms other advanced methods.