Adjustment of PID Controller Parameters in AVR Using the Spider Wasp Optimizer

This study presents the optimization of Proportional Integral Derivative (PID) controller parameters for automatic voltage regulators (AVR) in power systems using the Spider Wasp Optimizer (SWO) algorithm. The SWO, known for its fast convergence and reliable performance, was employed to tackle challenges in determining the optimal PID values. Guided by the Zwe-Lee Gain (ZLG) criterion, the optimized parameters obtained were KP=0.58017, KI=0.39249, and KD=0.19976. The system reached stability at the desired operating point within 2 seconds after applying these parameters. The entire system was modeled, analyzed, and simulated in MATLAB/Simulink, demonstrating the effectiveness of the SWO through detailed analysis and graphical representations.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/mepcon63025.2024.10850298
Citations
4
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
1.31
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article

Adjustment of PID Controller Parameters in AVR Using the Spider Wasp Optimizer

Onur Özdal Mengi, Mohamed Mahmoud Samy, Aykut Fatih Güven
4 citations
Advanced Control Systems Optimization
1.31
article

Adjustment of PID Controller Parameters in AVR Using the Spider Wasp Optimizer

Onur Özdal Mengi, Mohamed Mahmoud Samy, Aykut Fatih Güven
article en
4 citations

Abstract

This study presents the optimization of Proportional Integral Derivative (PID) controller parameters for automatic voltage regulators (AVR) in power systems using the Spider Wasp Optimizer (SWO) algorithm. The SWO, known for its fast convergence and reliable performance, was employed to tackle challenges in determining the optimal PID values. Guided by the Zwe-Lee Gain (ZLG) criterion, the optimized parameters obtained were KP=0.58017, KI=0.39249, and KD=0.19976. The system reached stability at the desired operating point within 2 seconds after applying these parameters. The entire system was modeled, analyzed, and simulated in MATLAB/Simulink, demonstrating the effectiveness of the SWO through detailed analysis and graphical representations.

Beni-Suef University (EG), Giresun University (TR), Yalova University (TR)
Affordable and clean energy
Openalex Percentile: Top 18%
Advanced Control Systems Optimization
1.31
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Adjustment of PID Controller Parameters in AVR Using the Spider Wasp Optimizer — Onur Özdal Mengi, Mohamed Mahmoud Samy, et al. · (2024) | TGRS Research Map | TGRS