Intelligent Control of Wind Turbines: A Neural-Fuzzy Controller for Pitch and Yaw Angle Regulation under Variable Wind Conditions

Authors

Salah Ali Daoud, Department of Mechanical Power Techniques Engineering Refrigeration and Air-conditioning, Collage of Technical Engineering, Al-Farahidy UniversityFollow
Samir Ali Amin, Department of Mechanical Power Techniques Engineering Refrigeration and Air-conditioning, Collage of Technical EngineeringFollow
Salah Sabeeh Abed AL Kareem, Department of Mechanical Power Techniques Engineering Refrigeration and Air-conditioning, Collage of Technical EngineeringFollow

Keywords

Wind turbine control, pitch angle regulation, neural-fuzzy controller, yaw alignment

Document Type

Article

Abstract

By modifying the pitch and yaw angles of the blades, the study presents a hybrid neural-fuzzy controller for wind turbines that enhances performance in variable wind conditions. The suggested system integrates fuzzy logic (for decision-making) and artificial neural networks (for learning), unlike conventional PID and fuzzy PID controllers, which have trouble with nonlinear dynamics. It employs two stages of control: pitch control at high wind speeds and yaw control at low wind speeds. The hybrid controller performs noticeably better than PID-based techniques, according to MATLAB/Simulink simulations, lowering pitch control error by 40%, stabilizing the system in 0.1 seconds instead of over 23 seconds, and maintaining power output within 1.7% of nominal levels. Additionally, it efficiently preserves proper yaw alignment, improving the reliability of power generation. The study's findings suggest that neural-fuzzy controllers can significantly increase wind turbine lifespan, stability, and efficiency. It also suggests that their practical application be customized for turbine and site conditions.

Recommended Citation

Daoud, Salah Ali; Amin, Samir Ali; and Kareem, Salah Sabeeh Abed AL (2025) "Intelligent Control of Wind Turbines: A Neural-Fuzzy Controller for Pitch and Yaw Angle Regulation under Variable Wind Conditions," Al-Farahidi Expert Systems Journal: Vol. 1: Iss. 1, Article 7.
Available at: https://fesj.uoalfarahidi.edu.iq/journal/vol1/iss1/7