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Model predictive current control for T-type NPC inverter using new on-line inductance estimation method
Predictive current control is the use of predictive model for controlling load current tracking reference value, which forecasts future current values based on the selection one of the 27 voltage vectors of T-type NPC inverter. The cost function will minimize tolerance between control and reference...
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creator | Phan Quoc Dzung Nguyen Dinh Tuyen Nguyen The Tien Nguyen Chan Viet |
description | Predictive current control is the use of predictive model for controlling load current tracking reference value, which forecasts future current values based on the selection one of the 27 voltage vectors of T-type NPC inverter. The cost function will minimize tolerance between control and reference current and 2 capacitor voltage values. These distortions depend on system load parameter elements. However, they are not the constant in the real event, which vary with operational conditions causing the distortion in control. In this paper, the new inductance estimation method is applied to predict future inductance values on-line, future current values as well as voltage values of 2 capacitors in order to improve the current quality. The proposed method is introduced and compared with the conventional algorithm to express the advantage of new technique. Simulation results are obtained by PSIM software and experimental results verify the feasibility and effectiveness of the algorithm. |
doi_str_mv | 10.1109/TENCON.2016.7848014 |
format | conference_proceeding |
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The cost function will minimize tolerance between control and reference current and 2 capacitor voltage values. These distortions depend on system load parameter elements. However, they are not the constant in the real event, which vary with operational conditions causing the distortion in control. In this paper, the new inductance estimation method is applied to predict future inductance values on-line, future current values as well as voltage values of 2 capacitors in order to improve the current quality. The proposed method is introduced and compared with the conventional algorithm to express the advantage of new technique. Simulation results are obtained by PSIM software and experimental results verify the feasibility and effectiveness of the algorithm.</description><identifier>EISSN: 2159-3450</identifier><identifier>EISBN: 1509025979</identifier><identifier>EISBN: 9781509025978</identifier><identifier>DOI: 10.1109/TENCON.2016.7848014</identifier><language>eng</language><publisher>IEEE</publisher><subject>Capacitors ; Estimation ; Inductance ; Inductance estimation ; Inverters ; Predictive current control ; Predictive models ; Switches ; T-NPC inverter ; Voltage control</subject><ispartof>2016 IEEE Region 10 Conference (TENCON), 2016, p.316-321</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7848014$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,23930,23931,25140,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7848014$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Phan Quoc Dzung</creatorcontrib><creatorcontrib>Nguyen Dinh Tuyen</creatorcontrib><creatorcontrib>Nguyen The Tien</creatorcontrib><creatorcontrib>Nguyen Chan Viet</creatorcontrib><title>Model predictive current control for T-type NPC inverter using new on-line inductance estimation method</title><title>2016 IEEE Region 10 Conference (TENCON)</title><addtitle>TENCON</addtitle><description>Predictive current control is the use of predictive model for controlling load current tracking reference value, which forecasts future current values based on the selection one of the 27 voltage vectors of T-type NPC inverter. The cost function will minimize tolerance between control and reference current and 2 capacitor voltage values. These distortions depend on system load parameter elements. However, they are not the constant in the real event, which vary with operational conditions causing the distortion in control. In this paper, the new inductance estimation method is applied to predict future inductance values on-line, future current values as well as voltage values of 2 capacitors in order to improve the current quality. The proposed method is introduced and compared with the conventional algorithm to express the advantage of new technique. Simulation results are obtained by PSIM software and experimental results verify the feasibility and effectiveness of the algorithm.</description><subject>Capacitors</subject><subject>Estimation</subject><subject>Inductance</subject><subject>Inductance estimation</subject><subject>Inverters</subject><subject>Predictive current control</subject><subject>Predictive models</subject><subject>Switches</subject><subject>T-NPC inverter</subject><subject>Voltage control</subject><issn>2159-3450</issn><isbn>1509025979</isbn><isbn>9781509025978</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2016</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkMtuwjAURN1KlUopX8DGPxB6bcevZRXRh0Shi-xRYt9QV8FBjqHi74sEs5nFkUZHQ8icwYIxsC_1cl1t1gsOTC20KQ2w8o48MQkWuLTa3pMJZ9IWopTwSGbj-AuXKOBg9ITsvgaPPT0k9MHlcELqjilhzNQNMaehp92QaF3k8wHp-ruiIZ4wZUz0OIa4oxH_6BCLPkS8IH90uYkOKY457Jschkj3mH8G_0weuqYfcXbrKanflnX1Uaw275_V66oIFnLhrPVKgzZgQLsWOgmNlS0TpeYNB2da0YAQZaeg1EorLjuP3lnVmbIVUokpmV9nAyJuD-kikc7b2y3iH369V6s</recordid><startdate>201611</startdate><enddate>201611</enddate><creator>Phan Quoc Dzung</creator><creator>Nguyen Dinh Tuyen</creator><creator>Nguyen The Tien</creator><creator>Nguyen Chan Viet</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201611</creationdate><title>Model predictive current control for T-type NPC inverter using new on-line inductance estimation method</title><author>Phan Quoc Dzung ; Nguyen Dinh Tuyen ; Nguyen The Tien ; Nguyen Chan Viet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-c99d670780807cb0f50a95b13472a20c8b3a0334f604767625fdedc96f84b3563</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Capacitors</topic><topic>Estimation</topic><topic>Inductance</topic><topic>Inductance estimation</topic><topic>Inverters</topic><topic>Predictive current control</topic><topic>Predictive models</topic><topic>Switches</topic><topic>T-NPC inverter</topic><topic>Voltage control</topic><toplevel>online_resources</toplevel><creatorcontrib>Phan Quoc Dzung</creatorcontrib><creatorcontrib>Nguyen Dinh Tuyen</creatorcontrib><creatorcontrib>Nguyen The Tien</creatorcontrib><creatorcontrib>Nguyen Chan Viet</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Phan Quoc Dzung</au><au>Nguyen Dinh Tuyen</au><au>Nguyen The Tien</au><au>Nguyen Chan Viet</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Model predictive current control for T-type NPC inverter using new on-line inductance estimation method</atitle><btitle>2016 IEEE Region 10 Conference (TENCON)</btitle><stitle>TENCON</stitle><date>2016-11</date><risdate>2016</risdate><spage>316</spage><epage>321</epage><pages>316-321</pages><eissn>2159-3450</eissn><eisbn>1509025979</eisbn><eisbn>9781509025978</eisbn><abstract>Predictive current control is the use of predictive model for controlling load current tracking reference value, which forecasts future current values based on the selection one of the 27 voltage vectors of T-type NPC inverter. The cost function will minimize tolerance between control and reference current and 2 capacitor voltage values. These distortions depend on system load parameter elements. However, they are not the constant in the real event, which vary with operational conditions causing the distortion in control. In this paper, the new inductance estimation method is applied to predict future inductance values on-line, future current values as well as voltage values of 2 capacitors in order to improve the current quality. The proposed method is introduced and compared with the conventional algorithm to express the advantage of new technique. Simulation results are obtained by PSIM software and experimental results verify the feasibility and effectiveness of the algorithm.</abstract><pub>IEEE</pub><doi>10.1109/TENCON.2016.7848014</doi><tpages>6</tpages></addata></record> |
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issn | 2159-3450 |
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subjects | Capacitors Estimation Inductance Inductance estimation Inverters Predictive current control Predictive models Switches T-NPC inverter Voltage control |
title | Model predictive current control for T-type NPC inverter using new on-line inductance estimation method |
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