Journal of Renewable and New Energy

Design of Intelligent Controller to Improve Safety and Performance of Wind Turbine

Document Type : Original Article

Authors

Mehdi Davoudi 1
Mohsen Davoudi 2

1 Department of Electrical Engineering, Buein Zahra Technical University, Buein Zahra, Qazvin, Iran

2 Electrical Engineering Department, Imam Khomeini International University (IKIU), Qazvin, Iran

https://doi.org/10.22034/jrenew.2025.228441
Abstract
Up to now, extensive research has been done in the field of wind turbines and various control methods have been investigated to improve safety and their performance. Due to the delay in the control systems, wind turbines cannot be accurately aligned with the wind when the wind speed and direction change, which causes a decrease in performance and in some cases, a reduction in their safety. In this article, integer and fractional order PID controllers are used to control pitch and yaw angles to improve safety and output power. The results show that the fractional order PID controller is more capable than the integer order PID controller and provides the possibility of faster and more accurate response improvement. The optimization and adjustment of controller parameters has been done with the intelligent optimization algorithm of group movement of birds and bee colony. To calculate the optimal coefficients of the controllers, a cost function has been defined, and the coefficients of the fractional order controllers have also been selected by this optimization method, with the mentioned methods, more favorable results have been obtained. The criterion for selecting the coefficients is to minimize the cost function for the position tracking error of the pitch and yaw angles. By using a fractional order PID controller with the bird swarm algorithm, the cost function for pitch angle has been reduced by 47 percent and for yaw angle by 78 percent.

Keywords

Renewable Energy
Wind Turbine
Intelligent Controller
PID Controller
Control System
Bird Group Movement Algorithm
Bee Colony

Subjects

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Journal of Renewable and New Energy
Volume 12, Issue 2 - Serial Number 24
September 2025
Pages 172-181

  • Receive Date 21 August 2024
  • Revise Date 30 March 2025
  • Accept Date 04 May 2025

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