Design and experimental validation of an artificial neural network-SVPWM controller for a novel micro grid-tied fuel cell-based 3-phase boost inverter

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dc.contributor.authorBaltacı, Kübra
dc.contributor.authorErtekin, Davut
dc.contributor.authorBayrak, Gökay
dc.date.accessioned2026-02-08T15:11:10Z
dc.date.available2026-02-08T15:11:10Z
dc.date.issued2024
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractA grid-tied fuel cell (FC) system demands efficient power conversion, power quality preservation, grid stability, power flow management, renewable energy source (RES) integration, and enhanced grid resilience. Achieving these goals requires a precise inverter circuit switch approach. A boost power converter connected to the FC stack ensures voltage regulation, power conditioning, efficient power transfer, system integration, control, and protection. This enhances FC system adaptability and compatibility across various applications, minimizing input current ripples for prolonged FC lifespan. This study introduces a novel DC-DC boost converter with an artificial neural network (ANN) controller to reduce FC input current ripples and enhance FC stack-generated voltage for grid applications. It also presents a space vector sinusoidal pulse width modulation (SVPWM) technique for FC-based three-phase grid-tied inverters. This offers improved voltage utilization, precise voltage and current control, reduced harmonic distortion, rapid response, flexibility, scalability, reduced total harmonic distortion (THD), and over-modulation capability. The proposed SVPWM technique utilizes a digital signal processing (DSP)-based controller, combining high-speed processing, precision, and real-time capabilities to enhance system performance and efficiency. © 2023 Hydrogen Energy Publications LLC
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK
dc.identifier.doi10.1016/j.ijhydene.2023.10.291
dc.identifier.endpage1265
dc.identifier.isbn0080311393
dc.identifier.issn0360-3199
dc.identifier.scopus2-s2.0-85176346686
dc.identifier.scopusqualityQ1
dc.identifier.startpage1247
dc.identifier.urihttps://doi.org/10.1016/j.ijhydene.2023.10.291
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5269
dc.identifier.volume52
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofInternational Journal of Hydrogen Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzScopus_KA_20260207
dc.subjectDigital signal processing-based controller
dc.subjectFuel cell
dc.subjectGrid integration
dc.subjectSpace vector sinusoidal pulse width modulation
dc.subjectThree-phase inverter
dc.titleDesign and experimental validation of an artificial neural network-SVPWM controller for a novel micro grid-tied fuel cell-based 3-phase boost inverter
dc.typeArticle

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