Cover
Vol. 21 No. 2 (2025)

Published: December 16, 2025

Pages: 32-42

Original Article

Optimal Hybrid Fuzzy PID for Pitch Angle Controller in Horizontal AxisWind Turbines

Adnan Adnan 1 Mohammed Hussain
1Department of Energy Engineering, University of Baghdad, Baghdad, Iraq
History
  • Received: September 19, 2023
  • Revised: January 24, 2024
  • Accepted: January 26, 2024
  • Available Online: January 17, 2025
DOI

https://doi.org/10.37917/ijeee.21.2.4

Abstract

Wind turbine (WT) is now a major renewable energy resource used in the modern world. One of the most significant technologies that use the wind speed (WS) to generate electric power is the horizontal-axis wind turbine. In order to enhance the output power over the rated WS, the blade pitch angle (BPA) is controlled and adjusted in WT. This paper proposes and compares three different controllers of BPA for a 500-kw WT. A PID controller (PIDC), a fuzzy logic controller (FLC) based on Mamdani and Sugeno fuzzy inference systems (FIS), and a hybrid fuzzy-PID controller (HFPIDC) have been applied and compared. Furthermore, Genetic Algorithm (GA) and Particle swarm optimization (PSO) have been applied and compared in order to identify the optimal PID parameters (kp, ki, kd). The objective of GA and PSO is minimized the error signal in output power based on actual WS. The results for three different controllers show that the optimal hybrid FPIDC based on the Sugeno inference system with PSO produces the optimal results regard to reduce the error signal and stable output power under actual WS.

Keywords

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