<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/6F53A3A3-C7F0-4A33-94B9-0F89836AF22C"><efrbr-work:titleOfTheWork>Finite control set model predictive control with Kalman filter estimation for LCL-type grid-tied inverter</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/6F53A3A3-C7F0-4A33-94B9-0F89836AF22C"><efrbr-expression:titleOfTheExpression>Finite control set model predictive control with Kalman filter estimation for LCL-type grid-tied inverter</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Δημοσίευση σε Συνέδριο
            Conference Publication
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2023-05-11</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2021</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:otherDistinguishingCharacteristic>This work has been performed within the framework of the project “eSOLAR: Principle and control of high-efficiency Buck-Boost type Photovoltaic inverter” of the program “Bilateral and Multilateral Research &amp; Technology Cooperation between Greece and China”. In Greece, this project was funded by the Operational Program “Competitiveness, Entrepreneurship and Innovation 2014-2020” (co-funded by the European Regional Development Fund) and managed by the General Secretariat of Research and Technology, Ministry of Education, Research, and Religious Affairs under the project eSOLAR/T7ΔKI-00066.</efrbr-expression:otherDistinguishingCharacteristic><efrbr-expression:summarizationOfContent>As one of the most effective control strategies for LCL-type grid-tied inverters (GTIs), the finite control set model predictive control (FCS-MPC) strategy can achieve accurate tracking of the reference value and handle a variety of constraints at the same time. Therefore, it has been employed in industrial applications. However, in order to achieve a better control effect, the traditional FCS-MPC requires multiple voltage and current sensors, which greatly increases the system cost. In addition, sensor failures occur frequently in practical applications, which will significantly reduce the overall performance of the system. Therefore, this paper proposes an improved FCS-MPC strategy (KFE-MPC) based on Kalman filter (KF). The proposed KFE-MPC strategy can reduce the number of sensors and improve the system’s ability to resist sensor failures effectively by utilizing a Kalman filter to estimate voltage and current. A three-phase / 110V LCL-type grid-tied inverter model is established to verify the feasibility and effectiveness of the proposed control strategy.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">964-969</efrbr-expression:note><efrbr-expression:note type="conference name">2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="07459454-04C7-4494-983E-6DC51E219EAF"><efrbr-person:nameOfPerson vocabulary="">
            Zhang Bingtao
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="7EF4147A-BE8D-4FFF-84D9-F15DF0ECCB01"><efrbr-person:nameOfPerson vocabulary="">
            Wu Weimin
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="1FE1A995-3F4C-4AF0-96EB-C2B316138D9E"><efrbr-person:nameOfPerson vocabulary="">
            Gao Ning
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~ekoutroulis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Koutroulis Eftychios
            Κουτρουλης Ευτυχιος
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="A5048203-B27A-4115-8B2F-EAE5B6C0BDA5"><efrbr-person:nameOfPerson vocabulary="">
            Chung Henry Shu-Hung
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="https://viaf.org/viaf/162671088"><efrbr-person:nameOfPerson vocabulary="VIAF">
            Blaabjerg, Frede, 1963-
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-corporateBody:corporateBody identifier="https://v2.sherpa.ac.uk/id/publisher/38"><efrbr-corporateBody:nameOfTheCorporateBody vocabulary="S/R:PUBLISHERS">
            Institute of Electrical and Electronics Engineers
         </efrbr-corporateBody:nameOfTheCorporateBody></efrbr-corporateBody:corporateBody><efrbr-concept:concept identifier="DE776611-B1C8-429E-8032-AB9CDDA77B82"><efrbr-concept:termForTheConcept>
            Grid-tied inverters (GTIs)
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="9D110037-530F-496A-8217-950248ACC23C"><efrbr-concept:termForTheConcept>
            Finite control set model predictive control (FCS-MPC)
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="1DD0C50D-CBE7-4C11-A8A8-3F777D021918"><efrbr-concept:termForTheConcept>
            Kalman filter (KF)
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