Novel Nonlinear PI Controller Using Metaheuristic Algorithms for Speed Control of Wind Turbine Systems
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Date
2025-08-31
Journal Title
Journal ISSN
Volume Title
Publisher
Journal Européen des Systèmes Automatisés Vol. 58, No. 8, August, 2025, pp. 1593-1608
Abstract
Wind turbines operate under highly dynamic conditions influenced by unpredictable wind
profiles and external disturbances. The nonlinear characteristics of their dynamic models
further complicate their modeling and control. This research focuses on optimizing the
power output of a Wind Energy Conversion System (WECS) equipped with a Permanent
Magnet Synchronous Generator (PMSG). To achieve this, a Maximum Power Point
Tracking (MPPT) strategy is developed, integrating an innovative nonlinear PI controller.
The parameters of this controller are fine-tuned using advanced meta-heuristic
optimization techniques, including Particle Swarm Optimization (PSO), Harris Hawks
Optimization (HHO), and Golden Jackal Optimization (GJO). Simulation results highlight
the superior performance of the GJO-NLPI controller, demonstrating exceptional accuracy
and rapid response in regulating mechanical rotation speed, while effectively reducing
overshoot. The proposed control architecture showcases significant advancements in
power extraction efficiency and dynamic performance.