Particle swarm optimization of synergetic controller and sliding-mode extreme seeking controller for wind power generation system

This article proposes a novel robust control strategy for Doubly Fed Induction Generator (DFIG)-based wind turbine systems by integrating Synergetic Control (SC) with Sliding Mode Extremum Seeking Control (SMESC) to enhance performance and reliability. The proposed SC-SMESC scheme replaces conventional Field-Oriented Control (FOC) with PI regulators by providing a compact and systematic formulation that ensures accurate control under both steady state and dynamic operating conditions. The architecture adopts a dual-loop design: a SC-based inner loop for high-precision active and reactive power regulation, and a SMESC-based outer loop for maximum power point tracking (MPPT). To further enhance adaptability, controller parameters are optimally tuned using a Particle Swarm Optimization (PSO) algorithm. Simulation results show that the optimized SC-SMESC strategy improves MPPT efficiency by 2%, reduces steady-state error by 77.52%, decreases settling time by 96.15%, and lowers the total harmonic distortion (THD) of stator currents to 0.63% compared to the conventional FOC-PI method. Moreover, the proposed approach exhibits strong robustness against parameter variations and external disturbances, confirming its effectiveness for high-performance wind energy conversion systems.