Modulated Model Predictive Control of Permanent Magnet Synchronous Motors with Improved Steady-State Performance

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dc.authoridgulbudak, ozan/0000-0001-9517-3630
dc.authoridKoc, Mikail/0000-0003-1465-1878
dc.contributor.authorKorpe, Ugur Ufuk
dc.contributor.authorGokdag, Mustafa
dc.contributor.authorKoc, Mikail
dc.contributor.authorGulbudak, Ozan
dc.date.accessioned2024-09-29T16:03:29Z
dc.date.available2024-09-29T16:03:29Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.descriptionIEEE 3rd Global Power, Energy and Communication Conference (IEEE GPECOM) -- OCT 05-08, 2021 -- ELECTR NETWORKen_US
dc.description.abstractFinite Control Set Model Predictive Control (FCS-MPC) is an optimal control strategy that predicts the future trends of the control goals by assessing the discrete-time model of the system. FCS-MPC has many advantages, such as it has a fast dynamic response, and nonlinearities can be controlled by the customized cost function. Besides the featured benefits of the FCS-MPC strategy, the ripple in the output variable (in most cases, control variable) may be problematic due to the uncontrolled switching frequency. For that reason, the MPC-based closed-loop strategy offers a better regulation performance at high-sampling frequency. However, the selection of a low sampling rate causes an unpleasant distortion or poor power quality. A modulated model predictive control method is proposed in this work to suppress the unwanted distortion in the control variable. In the proposed method, a space vector modulator is integrated into the FCS-MPC-based control method to attain a fixed-switching frequency. By doing so, the distortions and unwanted harmonics are significantly decreased. In this paper, a modulated model predictive control (M2PC) method is proposed for controlling the permanent magnet synchronous motor. The proposed method calculates the dwell-time of the modulator stage by assessing the multi-objective cost function. The noticeable lower distortions in the stator currents are obtained by the proposed routine. All theoretical concepts are verified by extensive simulations. Based on the simulation results, the proposed method provides a better control performance for permanent magnet synchronous motors (PMSM). Furthermore, the proposed modulated MPC strategy offers superior steady-state performance compared to the conventional MPC method in all regards.en_US
dc.description.sponsorshipIEEE,Nevsehir Haci Bektas Veli Univ,IEEE Ind Applicat Soc,IEEE Ind Elect Soc,IEEE Power Elect Soc,IEEE Power & Energy Soc,Univ Nova Lisboa,Univ Salerno,Univ Palermoen_US
dc.description.sponsorshipScientific and Technology Research Council of Turkey (TUBITAK) through the Scientific and Technological Research Projects Funding Program [118E858, 1001]en_US
dc.description.sponsorshipThis study has been supported by The Scientific and Technology Research Council of Turkey (TUBITAK) through the Scientific and Technological Research Projects Funding Program (1001) with a Project numbered 118E858.en_US
dc.identifier.doi10.1109/GPECOM52585.2021.9587747
dc.identifier.endpage72en_US
dc.identifier.isbn978-1-6654-3512-3
dc.identifier.scopus2-s2.0-85119099927en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage67en_US
dc.identifier.urihttps://doi.org/10.1109/GPECOM52585.2021.9587747
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6121
dc.identifier.wosWOS:000852805300013en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2021 Ieee 3rd Global Power, Energy and Communication Conference (Ieee Gpecom2021)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModel predictive controlen_US
dc.subjectModulated model predictive controlen_US
dc.subjectPMSMen_US
dc.subjectInverteren_US
dc.titleModulated Model Predictive Control of Permanent Magnet Synchronous Motors with Improved Steady-State Performanceen_US
dc.typeConference Objecten_US

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