<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>1674</id>
    <completedYear>2020</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2022-11-18</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Flux Linkage-Based Model Predictive Current Control for Nonlinear PMSM Drives</title>
    <abstract language="eng">In this paper, a flux linkage-based direct model predictive current control approach is presented for small permanent magnet synchronous motor (PMSM) drives. The method aims to minimize the current ripples at steady state by deciding on the optimal switching instant, while exhibiting fast dynamic behavior during transients. To this end, the future trajectory of the stator current is not computed based on the machine inductances or inductance look-up tables, but on the changes of the magnetic flux linkage by utilizing flux linkage maps. As shown, the proposed method can be particularly advantageous for electric drives with a noticeable nonlinearity in terms of saturation and/or cross-coupling effects since it allows for a significantly increased prediction accuracy, which leads to an improved steady-state performance as indicated by the reduced current distortions.</abstract>
    <parentTitle language="eng">IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society</parentTitle>
    <identifier type="doi">10.1109/iecon43393.2020.9254484</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T07:16:15Z","timestamp":1712906175158},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,18]],"date-time":"2020-10-18T00:00:00Z","timestamp":1602979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,18]],"date-time":"2020-10-18T00:00:00Z","timestamp":1602979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,18]],"date-time":"2020-10-18T00:00:00Z","timestamp":1602979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004725","name":"Ministry of Economic Affairs","doi-asserted-by":"publisher"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,18]]},"DOI":"10.1109\/iecon43393.2020.9254484","type":"proceedings-article","created":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T21:55:32Z","timestamp":1605736532000},"source":"Crossref","is-referenced-by-count":5,"title":["Flux Linkage-Based Model Predictive Current Control for Nonlinear PMSM Drives"],"prefix":"10.1109","author":[{"given":"Sebastian","family":"Wendel","sequence":"first","affiliation":[]},{"given":"Petros","family":"Karamanakos","sequence":"additional","affiliation":[]},{"given":"Armin","family":"Dietz","sequence":"additional","affiliation":[]},{"given":"Ralph","family":"Kennel","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SLED-PRECEDE.2013.6684485"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JESTPE.2013.2296794"},{"key":"ref10","article-title":"Modellbildung, Parameteridentifikation und Regelung hoch ausgenutzter Synchronmaschinen","author":"richter","year":"2016","journal-title":"Ph D Dissertation"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2304935"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICELMACH.2018.8507203"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2014.2339397"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2017.2756092"},{"key":"ref8","first-page":"830","article-title":"Predictive current control of saturated cross-coupled permanent magnet synchronous ma-chines","author":"richter","year":"2014","journal-title":"Proc Int Symp Power Electron Elect Drives Autom Motion"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/PRECEDE.2019.8753362"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2019.2954357"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2003.816538"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/PRECEDE.2017.8071270"}],"event":{"name":"IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society","location":"Singapore, Singapore","start":{"date-parts":[[2020,10,18]]},"end":{"date-parts":[[2020,10,21]]}},"container-title":["IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9254213\/9254215\/09254484.pdf?arnumber=9254484","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:19:50Z","timestamp":1656375590000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9254484\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,18]]},"references-count":12,"URL":"http:\/\/dx.doi.org\/10.1109\/iecon43393.2020.9254484","relation":{},"subject":[],"published":{"date-parts":[[2020,10,18]]}}}</enrichment>
    <enrichment key="local_crossrefDocumentType">proceedings-article</enrichment>
    <enrichment key="local_crossrefLicence">https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorFirstName_4,PersonAuthorLastName_4,Enrichmentconference_title,Enrichmentconference_place,PublisherName,TitleMain_1,TitleParent_1,CompletedYear,Enrichmentlocal_crossrefLicence</enrichment>
    <enrichment key="conference_title">IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society</enrichment>
    <enrichment key="conference_place">Singapore, Singapore</enrichment>
    <enrichment key="Reviewstatus">Begutachtet/Reviewed</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <author>Sebastian Wendel</author>
    <author>Petros Karamanakos</author>
    <author>Armin Dietz</author>
    <author>Ralph Kennel</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Couplings ;  Switches;  Predictive models ;  Mathematical model  ;  Rotors ;  Real-time systems  ;  Prediction algorithmso</value>
    </subject>
    <collection role="institutes" number="">Fakultät für Elektrotechnik Feinwerktechnik Informationstechnik</collection>
    <collection role="institutes" number="">Institut für leistungselektronische Systeme ELSYS</collection>
    <collection role="Forschungsschwerpunkt" number="1">Energie &amp; Ressourcen</collection>
  </doc>
</export-example>
