A novel gudermannian function-driven controller architecture optimized by starfish optimizer for superior transient performance of automatic voltage regulation

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dc.contributor.authorİzci, Davut
dc.contributor.authorEkinci, Serdar
dc.contributor.authorJabari, Mostafa
dc.contributor.authorKocaman, Behçet
dc.contributor.authorBektaş Güneş, Burcu
dc.contributor.authorAdas, Enver
dc.contributor.authorAhmad, Mohd Ashraf
dc.date.accessioned2026-02-09T07:45:50Z
dc.date.available2026-02-09T07:45:50Z
dc.date.issued2026
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractThis paper proposes a Gudermannian function-based proportional-integral-derivative (G-PID) controller to enhance the transient performance of automatic voltage regulator (AVR) systems operating under highly dynamic conditions. By embedding the smooth and bounded nonlinear mapping of the Gudermannian function into the classical PID structure, the proposed controller improves adaptability to large signal variations while effectively suppressing overshoot. The controller parameters are optimally tuned using the starfish optimization algorithm (SFOA), which provides a robust balance between exploration and exploitation in nonlinear search spaces. Simulation results demonstrate that the SFOA-optimized G-PID controller achieves superior transient performance, with a rise time of 0.0551 s, zero overshoot, and a settling time of 0.0830 s. Comparative evaluations confirm that the proposed approach outperforms widely used optimization algorithms (particle swarm optimization, grey wolf optimizer, success history-based adaptive differential evolution with linear population size, and Kirchhoff's law algorithm) and advanced AVR control schemes, including fractional-order and higher-order PID-based designs. These results indicate that the proposed SFOA optimized G-PID controller offers a computationally efficient and structurally simple solution for high-performance voltage regulation in modern power systems.
dc.description.sponsorshipMTUN Strategic Collaboration Research Grant
dc.identifier.doi10.3390/biomimetics11010007
dc.identifier.issn2313-7673
dc.identifier.issue1
dc.identifier.pmid41589924
dc.identifier.scopus2-s2.0-105028485061
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.3390/biomimetics11010007
dc.identifier.urihttps://hdl.handle.net/11501/2613
dc.identifier.volume11
dc.identifier.wosWOS:001670794700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.institutionauthorBektaş Güneş, Burcu
dc.institutionauthorid0000-0002-9046-1542
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofBiomimetics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAutomatic Voltage Regulator
dc.subjectElectrical Power System
dc.subjectGudermannian Function-Based PID Controller
dc.subjectStarfish Optimization Algorithm
dc.subjectTime Response
dc.titleA novel gudermannian function-driven controller architecture optimized by starfish optimizer for superior transient performance of automatic voltage regulation
dc.typeArticle

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