Fractional High-Order Differential Feedback Controller Based on Meta-Heuristic Algorithms for Automatic Voltage Regulator

Abstract

In this study, optimally parameter tuning of fractional high-order differential feedback controller (FHODFC) for an automatic voltage regulator (AVR) system regulating the terminal voltage of the synchronous generator is presented. Recently developed meta-heuristic optimization techniques named honey badger algorithm (HBA) and gorilla troops optimizer (GTO) have been employed for the first time in order to optimally determine ten different parameters of the FHODFC. The performance of the proposed controllers, that is, HBA-FHODFC and GTO-FHODFC, is analyzed in terms of transient and steady state responses, and robustness against uncertainties and external disturbances. In addition, their performance is compared to a FHODFC of which parameters were tuned by using particle swarm optimization algorithm in a previous study. The results indicate that the proposed HBA-FHODFC and GTO-FHODFC controllers provide zero overshoot and better results in terms of settling time and objective function then the PSO tuned FHODFC. Therefore, the proposed controllers can be used as an effective method in the AVR system.

Keywords:

• AVR system
• fractional high-order differential feedback controller
• fractional calculus
• honey badger algorithm
• gorilla troops optimizer
• particle swarm optimization

Disclosure Statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability Statement

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

Additional information

Notes on contributors

Özay Can

Özay Can received his BSc, MSc, and PhD degrees in Electrical Electronics Engineering, all from Duzce University, in 2011, 2016, and 2022, respectively. He is currently an Assistant Professor working in the Department of Electronics and Automation at Recep Tayyip Erdogan University, Türkiye. His areas of interest are power systems, control systems, and applications of metaheuristic optimization algorithms.

Mustafa Şinasi Ayas

Mustafa Şinasi Ayas received the B.Sc.E. degree in electrical engineering from Hacettepe University, Ankara, Turkey, in 2009, and the M.Sc.E. and Ph.D. degrees in electrical engineering from Karadeniz Technical University (KTU), Trabzon, Türkiye, in 2012 and 2017, respectively. He is currently an Associate Professor with the Department of Electrical and Electronics Engineering, KTU. His research interests include automatic control systems, evolutionary optimization, robotic systems, secure control systems, and electric motor drive diagnostics.