A neural-network-based space-vector PWM controller for voltage-fed inverter induction motor drive
A neural-network-based implementation of space-vector modulation (SVM) of a voltage-fed inverter has been proposed in this paper that fully covers the undermodulation and overmodulation regions linearly extending operation smoothly up to square wave. A neural network has the advantage of very fast i...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on industry applications 2000-11, Vol.36 (6), p.1628-1636 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1636 |
|---|---|
| container_issue | 6 |
| container_start_page | 1628 |
| container_title | IEEE transactions on industry applications |
| container_volume | 36 |
| creator | Pinto, J.O.P. Bose, B.K. Da Silva, L.E.B. Kazmierkowski, M.P. |
| description | A neural-network-based implementation of space-vector modulation (SVM) of a voltage-fed inverter has been proposed in this paper that fully covers the undermodulation and overmodulation regions linearly extending operation smoothly up to square wave. A neural network has the advantage of very fast implementation of an SVM algorithm that can increase the converter switching frequency, particularly when a dedicated application-specific integrated circuit chip is used in the modulator. The scheme has been fully implemented and extensively evaluated in a V/Hz-controlled 5 hp, 60 Hz, 230 V induction motor drive. The performances of the drive with artificial-neural-network-based SVM are excellent. The scheme can be easily extended to a vector-controlled drive. |
| doi_str_mv | 10.1109/28.887215 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_914639107</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>887215</ieee_id><sourcerecordid>29444902</sourcerecordid><originalsourceid>FETCH-LOGICAL-c433t-90f3d3d0d5671a3f032119354da6c5f2f07c28ee1b3976fe16ade894111493963</originalsourceid><addsrcrecordid>eNqF0T1PwzAQBmALgUT5GFiZIgYQg4svthN7rBBfUhEMIMbIdc4oJY2LnRTx73FVxMAA00l3z5306gg5AjYGYPoiV2OlyhzkFhmB5ppqXpTbZMSY5lRrLXbJXoxzxkBIECNiJlmHQzAt7bD_8OGNzkzEOotLY5Gu0PY-ZI8v95n1XR9822LIXGqtfNubV6Qu2aZbYejToOnqwfaN77KFX-_VoVnhAdlxpo14-F33yfP11dPlLZ0-3NxdTqbUCs57qpnjNa9ZLYsSDHeM55ACSFGbwkqXO1baXCHCjOuycAiFqVFpAQAi5Sz4Pjnb3F0G_z5g7KtFEy22renQD7HSIAqugZVJnv4pcy2E0Cz_HyohJctVgie_4NwPoUtxK6UkMJAACZ1vkA0-xoCuWoZmYcJnBaxaPy_dqzbPS_Z4YxtE_HHfwy96vpMn</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>885101511</pqid></control><display><type>article</type><title>A neural-network-based space-vector PWM controller for voltage-fed inverter induction motor drive</title><source>IEEE Electronic Library (IEL)</source><creator>Pinto, J.O.P. ; Bose, B.K. ; Da Silva, L.E.B. ; Kazmierkowski, M.P.</creator><creatorcontrib>Pinto, J.O.P. ; Bose, B.K. ; Da Silva, L.E.B. ; Kazmierkowski, M.P.</creatorcontrib><description>A neural-network-based implementation of space-vector modulation (SVM) of a voltage-fed inverter has been proposed in this paper that fully covers the undermodulation and overmodulation regions linearly extending operation smoothly up to square wave. A neural network has the advantage of very fast implementation of an SVM algorithm that can increase the converter switching frequency, particularly when a dedicated application-specific integrated circuit chip is used in the modulator. The scheme has been fully implemented and extensively evaluated in a V/Hz-controlled 5 hp, 60 Hz, 230 V induction motor drive. The performances of the drive with artificial-neural-network-based SVM are excellent. The scheme can be easily extended to a vector-controlled drive.</description><identifier>ISSN: 0093-9994</identifier><identifier>EISSN: 1939-9367</identifier><identifier>DOI: 10.1109/28.887215</identifier><identifier>CODEN: ITIACR</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Application specific integrated circuits ; Artificial neural networks ; Induction motor drives ; Induction motors ; Inverters ; Modulation ; Modulators ; Neural networks ; Pulse duration modulation ; Pulse width modulation inverters ; Space vector pulse width modulation ; Support vector machines ; Switching ; Switching converters ; Switching frequency ; Voltage control</subject><ispartof>IEEE transactions on industry applications, 2000-11, Vol.36 (6), p.1628-1636</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2000</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c433t-90f3d3d0d5671a3f032119354da6c5f2f07c28ee1b3976fe16ade894111493963</citedby><cites>FETCH-LOGICAL-c433t-90f3d3d0d5671a3f032119354da6c5f2f07c28ee1b3976fe16ade894111493963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/887215$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/887215$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Pinto, J.O.P.</creatorcontrib><creatorcontrib>Bose, B.K.</creatorcontrib><creatorcontrib>Da Silva, L.E.B.</creatorcontrib><creatorcontrib>Kazmierkowski, M.P.</creatorcontrib><title>A neural-network-based space-vector PWM controller for voltage-fed inverter induction motor drive</title><title>IEEE transactions on industry applications</title><addtitle>TIA</addtitle><description>A neural-network-based implementation of space-vector modulation (SVM) of a voltage-fed inverter has been proposed in this paper that fully covers the undermodulation and overmodulation regions linearly extending operation smoothly up to square wave. A neural network has the advantage of very fast implementation of an SVM algorithm that can increase the converter switching frequency, particularly when a dedicated application-specific integrated circuit chip is used in the modulator. The scheme has been fully implemented and extensively evaluated in a V/Hz-controlled 5 hp, 60 Hz, 230 V induction motor drive. The performances of the drive with artificial-neural-network-based SVM are excellent. The scheme can be easily extended to a vector-controlled drive.</description><subject>Application specific integrated circuits</subject><subject>Artificial neural networks</subject><subject>Induction motor drives</subject><subject>Induction motors</subject><subject>Inverters</subject><subject>Modulation</subject><subject>Modulators</subject><subject>Neural networks</subject><subject>Pulse duration modulation</subject><subject>Pulse width modulation inverters</subject><subject>Space vector pulse width modulation</subject><subject>Support vector machines</subject><subject>Switching</subject><subject>Switching converters</subject><subject>Switching frequency</subject><subject>Voltage control</subject><issn>0093-9994</issn><issn>1939-9367</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0T1PwzAQBmALgUT5GFiZIgYQg4svthN7rBBfUhEMIMbIdc4oJY2LnRTx73FVxMAA00l3z5306gg5AjYGYPoiV2OlyhzkFhmB5ppqXpTbZMSY5lRrLXbJXoxzxkBIECNiJlmHQzAt7bD_8OGNzkzEOotLY5Gu0PY-ZI8v95n1XR9822LIXGqtfNubV6Qu2aZbYejToOnqwfaN77KFX-_VoVnhAdlxpo14-F33yfP11dPlLZ0-3NxdTqbUCs57qpnjNa9ZLYsSDHeM55ACSFGbwkqXO1baXCHCjOuycAiFqVFpAQAi5Sz4Pjnb3F0G_z5g7KtFEy22renQD7HSIAqugZVJnv4pcy2E0Cz_HyohJctVgie_4NwPoUtxK6UkMJAACZ1vkA0-xoCuWoZmYcJnBaxaPy_dqzbPS_Z4YxtE_HHfwy96vpMn</recordid><startdate>20001101</startdate><enddate>20001101</enddate><creator>Pinto, J.O.P.</creator><creator>Bose, B.K.</creator><creator>Da Silva, L.E.B.</creator><creator>Kazmierkowski, M.P.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7TB</scope><scope>FR3</scope><scope>F28</scope></search><sort><creationdate>20001101</creationdate><title>A neural-network-based space-vector PWM controller for voltage-fed inverter induction motor drive</title><author>Pinto, J.O.P. ; Bose, B.K. ; Da Silva, L.E.B. ; Kazmierkowski, M.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c433t-90f3d3d0d5671a3f032119354da6c5f2f07c28ee1b3976fe16ade894111493963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Application specific integrated circuits</topic><topic>Artificial neural networks</topic><topic>Induction motor drives</topic><topic>Induction motors</topic><topic>Inverters</topic><topic>Modulation</topic><topic>Modulators</topic><topic>Neural networks</topic><topic>Pulse duration modulation</topic><topic>Pulse width modulation inverters</topic><topic>Space vector pulse width modulation</topic><topic>Support vector machines</topic><topic>Switching</topic><topic>Switching converters</topic><topic>Switching frequency</topic><topic>Voltage control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pinto, J.O.P.</creatorcontrib><creatorcontrib>Bose, B.K.</creatorcontrib><creatorcontrib>Da Silva, L.E.B.</creatorcontrib><creatorcontrib>Kazmierkowski, M.P.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Engineering Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on industry applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pinto, J.O.P.</au><au>Bose, B.K.</au><au>Da Silva, L.E.B.</au><au>Kazmierkowski, M.P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A neural-network-based space-vector PWM controller for voltage-fed inverter induction motor drive</atitle><jtitle>IEEE transactions on industry applications</jtitle><stitle>TIA</stitle><date>2000-11-01</date><risdate>2000</risdate><volume>36</volume><issue>6</issue><spage>1628</spage><epage>1636</epage><pages>1628-1636</pages><issn>0093-9994</issn><eissn>1939-9367</eissn><coden>ITIACR</coden><abstract>A neural-network-based implementation of space-vector modulation (SVM) of a voltage-fed inverter has been proposed in this paper that fully covers the undermodulation and overmodulation regions linearly extending operation smoothly up to square wave. A neural network has the advantage of very fast implementation of an SVM algorithm that can increase the converter switching frequency, particularly when a dedicated application-specific integrated circuit chip is used in the modulator. The scheme has been fully implemented and extensively evaluated in a V/Hz-controlled 5 hp, 60 Hz, 230 V induction motor drive. The performances of the drive with artificial-neural-network-based SVM are excellent. The scheme can be easily extended to a vector-controlled drive.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/28.887215</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0093-9994 |
| ispartof | IEEE transactions on industry applications, 2000-11, Vol.36 (6), p.1628-1636 |
| issn | 0093-9994 1939-9367 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_914639107 |
| source | IEEE Electronic Library (IEL) |
| subjects | Application specific integrated circuits Artificial neural networks Induction motor drives Induction motors Inverters Modulation Modulators Neural networks Pulse duration modulation Pulse width modulation inverters Space vector pulse width modulation Support vector machines Switching Switching converters Switching frequency Voltage control |
| title | A neural-network-based space-vector PWM controller for voltage-fed inverter 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=2025-01-31T11%3A35%3A55IST&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=A%20neural-network-based%20space-vector%20PWM%20controller%20for%20voltage-fed%20inverter%20induction%20motor%20drive&rft.jtitle=IEEE%20transactions%20on%20industry%20applications&rft.au=Pinto,%20J.O.P.&rft.date=2000-11-01&rft.volume=36&rft.issue=6&rft.spage=1628&rft.epage=1636&rft.pages=1628-1636&rft.issn=0093-9994&rft.eissn=1939-9367&rft.coden=ITIACR&rft_id=info:doi/10.1109/28.887215&rft_dat=%3Cproquest_RIE%3E29444902%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=885101511&rft_id=info:pmid/&rft_ieee_id=887215&rfr_iscdi=true |