Multiobjective Fuzzy-Decision-Making Predictive Torque Control for an Induction Motor Drive
In the recent years, the use of model predictive control in electrical drives has been widely reported both theoretically and experimentally. Predictive torque control has been developed to control induction motor drives, allowing high performance and fast dynamics. However, the optimization used in...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on power electronics 2017-08, Vol.32 (8), p.6245-6260 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 6260 |
|---|---|
| container_issue | 8 |
| container_start_page | 6245 |
| container_title | IEEE transactions on power electronics |
| container_volume | 32 |
| creator | Rojas, Christian A. Rodriguez, Jose R. Kouro, Samir Villarroel, Felipe |
| description | In the recent years, the use of model predictive control in electrical drives has been widely reported both theoretically and experimentally. Predictive torque control has been developed to control induction motor drives, allowing high performance and fast dynamics. However, the optimization used in predictive torque control is based on a single cost function minimization, where control objectives are merged by using weighting factors. The selection of these scalar factors is achieved through offline and online search methods and they are heavily dependent on the system parameters. To avoid this drawback, a multiobjective fuzzy predictive torque control is presented. The proposed strategy replaces the minimization of a scalar cost function with a multiobjective optimization using fuzzy decision making. Experimental implementation is presented to validate the performance of the proposed control scheme. |
| doi_str_mv | 10.1109/TPEL.2016.2619378 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2174452265</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7600354</ieee_id><sourcerecordid>2174452265</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-97c57d9688cfec985587746a0a4bad86fe516f20229602ed8464efc3bbb066473</originalsourceid><addsrcrecordid>eNo9kE1Lw0AQhhdRsFZ_gHgJeN46u9nPo_RDCyn2UE8elmSzka01WzeJ0P56U1I8Dcw878zwIHRPYEII6KfNep5NKBAxoYLoVKoLNCKaEQwE5CUagVIcK63Ta3TTNFsAwjiQEfpYdbvWh2LrbOt_XbLojscDnjnrGx9qvMq_fP2ZrKMr_QBsQvzpXDINdRvDLqlCTPI6WdZl189DnaxC27dmsWdv0VWV7xp3d65j9L6Yb6avOHt7WU6fM2ypTluspeWy1EIpWzmrFedKSiZyyFmRl0pUjhNRUaBUC6CuVEwwV9m0KAoQgsl0jB6HvfsY-t-a1mxDF-v-pKFEMsYpFbynyEDZGJomusrso__O48EQMCeH5uTQnByas8M-8zBkvHPun5cCIOUs_QPqL22Y</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2174452265</pqid></control><display><type>article</type><title>Multiobjective Fuzzy-Decision-Making Predictive Torque Control for an Induction Motor Drive</title><source>IEEE Electronic Library (IEL)</source><creator>Rojas, Christian A. ; Rodriguez, Jose R. ; Kouro, Samir ; Villarroel, Felipe</creator><creatorcontrib>Rojas, Christian A. ; Rodriguez, Jose R. ; Kouro, Samir ; Villarroel, Felipe</creatorcontrib><description>In the recent years, the use of model predictive control in electrical drives has been widely reported both theoretically and experimentally. Predictive torque control has been developed to control induction motor drives, allowing high performance and fast dynamics. However, the optimization used in predictive torque control is based on a single cost function minimization, where control objectives are merged by using weighting factors. The selection of these scalar factors is achieved through offline and online search methods and they are heavily dependent on the system parameters. To avoid this drawback, a multiobjective fuzzy predictive torque control is presented. The proposed strategy replaces the minimization of a scalar cost function with a multiobjective optimization using fuzzy decision making. Experimental implementation is presented to validate the performance of the proposed control scheme.</description><identifier>ISSN: 0885-8993</identifier><identifier>EISSN: 1941-0107</identifier><identifier>DOI: 10.1109/TPEL.2016.2619378</identifier><identifier>CODEN: ITPEE8</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Cost function ; Decision making ; Fuzzy control ; fuzzy sets ; Fuzzy systems ; Induction motor drives ; Induction motors ; Minimization ; Multiple objective analysis ; Optimization ; Predictive control ; Stators ; Torque ; Torque control ; variable speed drives</subject><ispartof>IEEE transactions on power electronics, 2017-08, Vol.32 (8), p.6245-6260</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-97c57d9688cfec985587746a0a4bad86fe516f20229602ed8464efc3bbb066473</citedby><cites>FETCH-LOGICAL-c293t-97c57d9688cfec985587746a0a4bad86fe516f20229602ed8464efc3bbb066473</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7600354$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7600354$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rojas, Christian A.</creatorcontrib><creatorcontrib>Rodriguez, Jose R.</creatorcontrib><creatorcontrib>Kouro, Samir</creatorcontrib><creatorcontrib>Villarroel, Felipe</creatorcontrib><title>Multiobjective Fuzzy-Decision-Making Predictive Torque Control for an Induction Motor Drive</title><title>IEEE transactions on power electronics</title><addtitle>TPEL</addtitle><description>In the recent years, the use of model predictive control in electrical drives has been widely reported both theoretically and experimentally. Predictive torque control has been developed to control induction motor drives, allowing high performance and fast dynamics. However, the optimization used in predictive torque control is based on a single cost function minimization, where control objectives are merged by using weighting factors. The selection of these scalar factors is achieved through offline and online search methods and they are heavily dependent on the system parameters. To avoid this drawback, a multiobjective fuzzy predictive torque control is presented. The proposed strategy replaces the minimization of a scalar cost function with a multiobjective optimization using fuzzy decision making. Experimental implementation is presented to validate the performance of the proposed control scheme.</description><subject>Cost function</subject><subject>Decision making</subject><subject>Fuzzy control</subject><subject>fuzzy sets</subject><subject>Fuzzy systems</subject><subject>Induction motor drives</subject><subject>Induction motors</subject><subject>Minimization</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Predictive control</subject><subject>Stators</subject><subject>Torque</subject><subject>Torque control</subject><subject>variable speed drives</subject><issn>0885-8993</issn><issn>1941-0107</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhhdRsFZ_gHgJeN46u9nPo_RDCyn2UE8elmSzka01WzeJ0P56U1I8Dcw878zwIHRPYEII6KfNep5NKBAxoYLoVKoLNCKaEQwE5CUagVIcK63Ta3TTNFsAwjiQEfpYdbvWh2LrbOt_XbLojscDnjnrGx9qvMq_fP2ZrKMr_QBsQvzpXDINdRvDLqlCTPI6WdZl189DnaxC27dmsWdv0VWV7xp3d65j9L6Yb6avOHt7WU6fM2ypTluspeWy1EIpWzmrFedKSiZyyFmRl0pUjhNRUaBUC6CuVEwwV9m0KAoQgsl0jB6HvfsY-t-a1mxDF-v-pKFEMsYpFbynyEDZGJomusrso__O48EQMCeH5uTQnByas8M-8zBkvHPun5cCIOUs_QPqL22Y</recordid><startdate>201708</startdate><enddate>201708</enddate><creator>Rojas, Christian A.</creator><creator>Rodriguez, Jose R.</creator><creator>Kouro, Samir</creator><creator>Villarroel, Felipe</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>201708</creationdate><title>Multiobjective Fuzzy-Decision-Making Predictive Torque Control for an Induction Motor Drive</title><author>Rojas, Christian A. ; Rodriguez, Jose R. ; Kouro, Samir ; Villarroel, Felipe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-97c57d9688cfec985587746a0a4bad86fe516f20229602ed8464efc3bbb066473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Cost function</topic><topic>Decision making</topic><topic>Fuzzy control</topic><topic>fuzzy sets</topic><topic>Fuzzy systems</topic><topic>Induction motor drives</topic><topic>Induction motors</topic><topic>Minimization</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Predictive control</topic><topic>Stators</topic><topic>Torque</topic><topic>Torque control</topic><topic>variable speed drives</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rojas, Christian A.</creatorcontrib><creatorcontrib>Rodriguez, Jose R.</creatorcontrib><creatorcontrib>Kouro, Samir</creatorcontrib><creatorcontrib>Villarroel, Felipe</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power electronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rojas, Christian A.</au><au>Rodriguez, Jose R.</au><au>Kouro, Samir</au><au>Villarroel, Felipe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiobjective Fuzzy-Decision-Making Predictive Torque Control for an Induction Motor Drive</atitle><jtitle>IEEE transactions on power electronics</jtitle><stitle>TPEL</stitle><date>2017-08</date><risdate>2017</risdate><volume>32</volume><issue>8</issue><spage>6245</spage><epage>6260</epage><pages>6245-6260</pages><issn>0885-8993</issn><eissn>1941-0107</eissn><coden>ITPEE8</coden><abstract>In the recent years, the use of model predictive control in electrical drives has been widely reported both theoretically and experimentally. Predictive torque control has been developed to control induction motor drives, allowing high performance and fast dynamics. However, the optimization used in predictive torque control is based on a single cost function minimization, where control objectives are merged by using weighting factors. The selection of these scalar factors is achieved through offline and online search methods and they are heavily dependent on the system parameters. To avoid this drawback, a multiobjective fuzzy predictive torque control is presented. The proposed strategy replaces the minimization of a scalar cost function with a multiobjective optimization using fuzzy decision making. Experimental implementation is presented to validate the performance of the proposed control scheme.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPEL.2016.2619378</doi><tpages>16</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0885-8993 |
| ispartof | IEEE transactions on power electronics, 2017-08, Vol.32 (8), p.6245-6260 |
| issn | 0885-8993 1941-0107 |
| language | eng |
| recordid | cdi_proquest_journals_2174452265 |
| source | IEEE Electronic Library (IEL) |
| subjects | Cost function Decision making Fuzzy control fuzzy sets Fuzzy systems Induction motor drives Induction motors Minimization Multiple objective analysis Optimization Predictive control Stators Torque Torque control variable speed drives |
| title | Multiobjective Fuzzy-Decision-Making Predictive Torque Control for an Induction Motor Drive |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T17%3A40%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multiobjective%20Fuzzy-Decision-Making%20Predictive%20Torque%20Control%20for%20an%20Induction%20Motor%20Drive&rft.jtitle=IEEE%20transactions%20on%20power%20electronics&rft.au=Rojas,%20Christian%20A.&rft.date=2017-08&rft.volume=32&rft.issue=8&rft.spage=6245&rft.epage=6260&rft.pages=6245-6260&rft.issn=0885-8993&rft.eissn=1941-0107&rft.coden=ITPEE8&rft_id=info:doi/10.1109/TPEL.2016.2619378&rft_dat=%3Cproquest_RIE%3E2174452265%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2174452265&rft_id=info:pmid/&rft_ieee_id=7600354&rfr_iscdi=true |