Model Predictive Control Strategy for Induction Motor Drive Using Lyapunov Stability Objective

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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.accessioned2024-09-29T16:04:30Z
dc.date.available2024-09-29T16:04:30Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThis article presents a novel Lyapunov-based model predictive control strategy for squirrel-cage induction motor fed by a voltage source inverter. The model predictive control method has received enormous attention thanks to its rapid response to load perturbations. However, the traditional model predictive control method may suffer from instability due to the poor choice of the objective function, weighting factors, or other design parameters. In particular, the selection of the objective function may not be sufficient to ensure global stability. Since the performance of the model predictive control method highly relies on the explicit model of the system, a simple penalization term in the objective function can lead to system instability. As a result, the transient and steady-state performances are negatively affected. The objective function is reformulated as the Lyapunov energy function to deal with this ambiguous situation in this article. The control input constraints are defined in the formulated optimal control problem, and the optimal solution is explored by assessing the Lyapunov stability criterion. The proposed method ensures asymptotic stability since the control action that satisfies the Lyapunov stability condition is selected. The experimental work proves the theoretical concepts. Moreover, the proposed method does not require the weighting factors to control the multiple control goals. The experimental results demonstrate that the proposed control strategy improves the steady-state performance. The machine torque and speed are well regulated, and the quality of the stator current is improved.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.doi10.1109/TIE.2021.3139237
dc.identifier.endpage12128en_US
dc.identifier.issn0278-0046
dc.identifier.issn1557-9948
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-85122849937en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage12119en_US
dc.identifier.urihttps://doi.org/10.1109/TIE.2021.3139237
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6172
dc.identifier.volume69en_US
dc.identifier.wosWOS:000838702800141en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions On Industrial Electronicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectField-programmable gate arrayen_US
dc.subjectinduction motoren_US
dc.subjectLyapunov methoden_US
dc.subjectmodel predictive controlen_US
dc.subjectvoltage-source inverteren_US
dc.titleModel Predictive Control Strategy for Induction Motor Drive Using Lyapunov Stability Objectiveen_US
dc.typeArticleen_US

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