Optimized sliding surface predictive control of a voltage source inverter with improved steady-state performance

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dc.authoridKomurcugil, Hasan/0000-0003-4728-6416
dc.authoridGokdag, Mustafa/0000-0001-5589-2278
dc.authoridgulbudak, ozan/0000-0001-9517-3630
dc.contributor.authorGulbudak, Ozan
dc.contributor.authorGokdag, Mustafa
dc.contributor.authorKomurcugil, Hasan
dc.date.accessioned2024-09-29T15:57:23Z
dc.date.available2024-09-29T15:57:23Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this paper, an optimized sliding surface predictive control of a three-phase voltage source inverter is introduced. In power electronics, the model predictive control method (MPC) is broadly used and applied to a wide range of energy conversion systems. However, analyzing the stability of the MPC is not a straightforward task, and Lyapunov-based approaches are used to examine the stability characteristics in most cases. MPC is a nonlinear control technique, and the traditional frequency -domain stability tools cannot be used to examine the closed-loop stability. Therefore, a poor design of the MPC without considering the stability may worsen the system performance. Even the norm choice of the objective function leads to closed-loop instability, for example, t1 norm is not a sufficient choice to guarantee the global asymptotical stability. Even though t1 norm offers a low computational burden during the online optimization process, the system may suffer from closed-loop instability. For all these reasons, a stability-guaranteed objective function design procedure is proposed in this paper. The proposed objective function selection process is based on the sliding-mode control theory. The objective function is reformulated as a sliding surface function, and the switching combination that satisfies the sliding mode control stability criteria is selected as an optimum input. The mathematical concepts are experimentally validated, and the results demonstrate the potency of the proposed strategy. (c) 2021 Published by Elsevier Ltd on behalf of ISA.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [117E769]en_US
dc.description.sponsorshipThis work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 117E769.en_US
dc.identifier.doi10.1016/j.isatra.2021.12.008
dc.identifier.endpage471en_US
dc.identifier.issn0019-0578
dc.identifier.issn1879-2022
dc.identifier.pmid34961608en_US
dc.identifier.scopus2-s2.0-85121831286en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage460en_US
dc.identifier.urihttps://doi.org/10.1016/j.isatra.2021.12.008
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4785
dc.identifier.volume129en_US
dc.identifier.wosWOS:000875903100001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofIsa Transactionsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectVoltage source inverteren_US
dc.subjectModel predictive controlen_US
dc.subjectReceding-horizon strategyen_US
dc.subjectSliding mode controlen_US
dc.titleOptimized sliding surface predictive control of a voltage source inverter with improved steady-state performanceen_US
dc.typeArticleen_US

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