Open-Circuit Fault Diagnosis for Three-Level ANPC Inverter Based on Predictive Current Vector Residual

This article proposes a novel open-circuit (OC) fault diagnosis method for three-level active neutral-point-clamped (3L-ANPC) inverter. This fault diagnosis method is integrated in the receding optimization of the model predictive control (MPC), where the predictive current model is built to estimat...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on industry applications 2023-11, Vol.59 (6), p.6837-6851
Hauptverfasser: Li, Guohua, Xu, Shuai, Sun, Zhenyao, Yao, Chunxing, Ren, Guanzhou, Ma, Guangtong
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 6851
container_issue 6
container_start_page 6837
container_title IEEE transactions on industry applications
container_volume 59
creator Li, Guohua
Xu, Shuai
Sun, Zhenyao
Yao, Chunxing
Ren, Guanzhou
Ma, Guangtong
description This article proposes a novel open-circuit (OC) fault diagnosis method for three-level active neutral-point-clamped (3L-ANPC) inverter. This fault diagnosis method is integrated in the receding optimization of the model predictive control (MPC), where the predictive current model is built to estimate the current vector under the normal and switch OC fault-assumed conditions. The predictive current vector residual between the measured current and predictive current is utilized to distinguish the faulty switch module. Owning to the iterative optimization of the MPC, the predictive current vector residual can be calculated within each control interval, thus achieving fast online diagnosis. Besides, a count function is defined for preventing the misdiagnosis, enhancing the algorithm robustness. Simulations are conducted under different OC faults to evaluate the effectiveness of the defined diagnosis thresholds. Finally, the feasibility of the proposed method is validated experimentally on a 3L-ANPC inverter fed permanent magnet synchronous motor (PMSM) drives.
doi_str_mv 10.1109/TIA.2023.3310491
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2892368319</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10236476</ieee_id><sourcerecordid>2892368319</sourcerecordid><originalsourceid>FETCH-LOGICAL-c292t-1d110da810eda2a35127a400032675f46bddfafaa2b00d8dbf27e5cd3ced22b3</originalsourceid><addsrcrecordid>eNpNkD1PwzAURS0EEqWwMzBYYk55tvPlsQQKlSpaoYjVcuIXcBWSYjuV-Pekagemt9xzr94h5JbBjDGQD-VyPuPAxUwIBrFkZ2TCpJCRFGl2TiYAUkRSyviSXHm_BWBxwuIJadY77KLCunqwgS700Ab6ZPVn13vradM7Wn45xGiFe2zp_G1T0GW3RxfQ0Uft0dC-oxuHxtbB7pEWg3PYBfqBdRjhd_TWDLq9JheNbj3enO6UlIvnsniNVuuXZTFfRTWXPETMjL8YnTNAo7kWCeOZjgFA8DRLmjitjGl0ozWvAExuqoZnmNRG1Gg4r8SU3B9rd67_GdAHte0H142LiueSizQXo5QpgWOqdr33Dhu1c_Zbu1_FQB1kqlGmOshUJ5kjcndELCL-i4-VcZaKP4l9cJM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2892368319</pqid></control><display><type>article</type><title>Open-Circuit Fault Diagnosis for Three-Level ANPC Inverter Based on Predictive Current Vector Residual</title><source>IEEE Electronic Library (IEL)</source><creator>Li, Guohua ; Xu, Shuai ; Sun, Zhenyao ; Yao, Chunxing ; Ren, Guanzhou ; Ma, Guangtong</creator><creatorcontrib>Li, Guohua ; Xu, Shuai ; Sun, Zhenyao ; Yao, Chunxing ; Ren, Guanzhou ; Ma, Guangtong</creatorcontrib><description>This article proposes a novel open-circuit (OC) fault diagnosis method for three-level active neutral-point-clamped (3L-ANPC) inverter. This fault diagnosis method is integrated in the receding optimization of the model predictive control (MPC), where the predictive current model is built to estimate the current vector under the normal and switch OC fault-assumed conditions. The predictive current vector residual between the measured current and predictive current is utilized to distinguish the faulty switch module. Owning to the iterative optimization of the MPC, the predictive current vector residual can be calculated within each control interval, thus achieving fast online diagnosis. Besides, a count function is defined for preventing the misdiagnosis, enhancing the algorithm robustness. Simulations are conducted under different OC faults to evaluate the effectiveness of the defined diagnosis thresholds. Finally, the feasibility of the proposed method is validated experimentally on a 3L-ANPC inverter fed permanent magnet synchronous motor (PMSM) drives.</description><identifier>ISSN: 0093-9994</identifier><identifier>EISSN: 1939-9367</identifier><identifier>DOI: 10.1109/TIA.2023.3310491</identifier><identifier>CODEN: ITIACR</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Active neutral-point-clamped inverter ; Algorithms ; Circuit faults ; Circuits ; Current measurement ; Fault diagnosis ; Inverters ; Iterative methods ; model predictive control ; open-circuit fault ; Optimization ; permanent magnet synchronous motor ; Permanent magnets ; Predictive control ; Predictive models ; Stator windings ; Switches ; Synchronous motors</subject><ispartof>IEEE transactions on industry applications, 2023-11, Vol.59 (6), p.6837-6851</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c292t-1d110da810eda2a35127a400032675f46bddfafaa2b00d8dbf27e5cd3ced22b3</citedby><cites>FETCH-LOGICAL-c292t-1d110da810eda2a35127a400032675f46bddfafaa2b00d8dbf27e5cd3ced22b3</cites><orcidid>0000-0002-0249-4310 ; 0009-0006-8083-1956 ; 0000-0001-5117-878X ; 0009-0001-9913-6332 ; 0009-0003-3134-8747 ; 0000-0001-9928-5437</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10236476$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54737</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10236476$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Li, Guohua</creatorcontrib><creatorcontrib>Xu, Shuai</creatorcontrib><creatorcontrib>Sun, Zhenyao</creatorcontrib><creatorcontrib>Yao, Chunxing</creatorcontrib><creatorcontrib>Ren, Guanzhou</creatorcontrib><creatorcontrib>Ma, Guangtong</creatorcontrib><title>Open-Circuit Fault Diagnosis for Three-Level ANPC Inverter Based on Predictive Current Vector Residual</title><title>IEEE transactions on industry applications</title><addtitle>TIA</addtitle><description>This article proposes a novel open-circuit (OC) fault diagnosis method for three-level active neutral-point-clamped (3L-ANPC) inverter. This fault diagnosis method is integrated in the receding optimization of the model predictive control (MPC), where the predictive current model is built to estimate the current vector under the normal and switch OC fault-assumed conditions. The predictive current vector residual between the measured current and predictive current is utilized to distinguish the faulty switch module. Owning to the iterative optimization of the MPC, the predictive current vector residual can be calculated within each control interval, thus achieving fast online diagnosis. Besides, a count function is defined for preventing the misdiagnosis, enhancing the algorithm robustness. Simulations are conducted under different OC faults to evaluate the effectiveness of the defined diagnosis thresholds. Finally, the feasibility of the proposed method is validated experimentally on a 3L-ANPC inverter fed permanent magnet synchronous motor (PMSM) drives.</description><subject>Active neutral-point-clamped inverter</subject><subject>Algorithms</subject><subject>Circuit faults</subject><subject>Circuits</subject><subject>Current measurement</subject><subject>Fault diagnosis</subject><subject>Inverters</subject><subject>Iterative methods</subject><subject>model predictive control</subject><subject>open-circuit fault</subject><subject>Optimization</subject><subject>permanent magnet synchronous motor</subject><subject>Permanent magnets</subject><subject>Predictive control</subject><subject>Predictive models</subject><subject>Stator windings</subject><subject>Switches</subject><subject>Synchronous motors</subject><issn>0093-9994</issn><issn>1939-9367</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkD1PwzAURS0EEqWwMzBYYk55tvPlsQQKlSpaoYjVcuIXcBWSYjuV-Pekagemt9xzr94h5JbBjDGQD-VyPuPAxUwIBrFkZ2TCpJCRFGl2TiYAUkRSyviSXHm_BWBxwuIJadY77KLCunqwgS700Ab6ZPVn13vradM7Wn45xGiFe2zp_G1T0GW3RxfQ0Uft0dC-oxuHxtbB7pEWg3PYBfqBdRjhd_TWDLq9JheNbj3enO6UlIvnsniNVuuXZTFfRTWXPETMjL8YnTNAo7kWCeOZjgFA8DRLmjitjGl0ozWvAExuqoZnmNRG1Gg4r8SU3B9rd67_GdAHte0H142LiueSizQXo5QpgWOqdr33Dhu1c_Zbu1_FQB1kqlGmOshUJ5kjcndELCL-i4-VcZaKP4l9cJM</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Li, Guohua</creator><creator>Xu, Shuai</creator><creator>Sun, Zhenyao</creator><creator>Yao, Chunxing</creator><creator>Ren, Guanzhou</creator><creator>Ma, Guangtong</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>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-0249-4310</orcidid><orcidid>https://orcid.org/0009-0006-8083-1956</orcidid><orcidid>https://orcid.org/0000-0001-5117-878X</orcidid><orcidid>https://orcid.org/0009-0001-9913-6332</orcidid><orcidid>https://orcid.org/0009-0003-3134-8747</orcidid><orcidid>https://orcid.org/0000-0001-9928-5437</orcidid></search><sort><creationdate>202311</creationdate><title>Open-Circuit Fault Diagnosis for Three-Level ANPC Inverter Based on Predictive Current Vector Residual</title><author>Li, Guohua ; Xu, Shuai ; Sun, Zhenyao ; Yao, Chunxing ; Ren, Guanzhou ; Ma, Guangtong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c292t-1d110da810eda2a35127a400032675f46bddfafaa2b00d8dbf27e5cd3ced22b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Active neutral-point-clamped inverter</topic><topic>Algorithms</topic><topic>Circuit faults</topic><topic>Circuits</topic><topic>Current measurement</topic><topic>Fault diagnosis</topic><topic>Inverters</topic><topic>Iterative methods</topic><topic>model predictive control</topic><topic>open-circuit fault</topic><topic>Optimization</topic><topic>permanent magnet synchronous motor</topic><topic>Permanent magnets</topic><topic>Predictive control</topic><topic>Predictive models</topic><topic>Stator windings</topic><topic>Switches</topic><topic>Synchronous motors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Guohua</creatorcontrib><creatorcontrib>Xu, Shuai</creatorcontrib><creatorcontrib>Sun, Zhenyao</creatorcontrib><creatorcontrib>Yao, Chunxing</creatorcontrib><creatorcontrib>Ren, Guanzhou</creatorcontrib><creatorcontrib>Ma, Guangtong</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>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; 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><jtitle>IEEE transactions on industry applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li, Guohua</au><au>Xu, Shuai</au><au>Sun, Zhenyao</au><au>Yao, Chunxing</au><au>Ren, Guanzhou</au><au>Ma, Guangtong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Open-Circuit Fault Diagnosis for Three-Level ANPC Inverter Based on Predictive Current Vector Residual</atitle><jtitle>IEEE transactions on industry applications</jtitle><stitle>TIA</stitle><date>2023-11</date><risdate>2023</risdate><volume>59</volume><issue>6</issue><spage>6837</spage><epage>6851</epage><pages>6837-6851</pages><issn>0093-9994</issn><eissn>1939-9367</eissn><coden>ITIACR</coden><abstract>This article proposes a novel open-circuit (OC) fault diagnosis method for three-level active neutral-point-clamped (3L-ANPC) inverter. This fault diagnosis method is integrated in the receding optimization of the model predictive control (MPC), where the predictive current model is built to estimate the current vector under the normal and switch OC fault-assumed conditions. The predictive current vector residual between the measured current and predictive current is utilized to distinguish the faulty switch module. Owning to the iterative optimization of the MPC, the predictive current vector residual can be calculated within each control interval, thus achieving fast online diagnosis. Besides, a count function is defined for preventing the misdiagnosis, enhancing the algorithm robustness. Simulations are conducted under different OC faults to evaluate the effectiveness of the defined diagnosis thresholds. Finally, the feasibility of the proposed method is validated experimentally on a 3L-ANPC inverter fed permanent magnet synchronous motor (PMSM) drives.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIA.2023.3310491</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-0249-4310</orcidid><orcidid>https://orcid.org/0009-0006-8083-1956</orcidid><orcidid>https://orcid.org/0000-0001-5117-878X</orcidid><orcidid>https://orcid.org/0009-0001-9913-6332</orcidid><orcidid>https://orcid.org/0009-0003-3134-8747</orcidid><orcidid>https://orcid.org/0000-0001-9928-5437</orcidid></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0093-9994
ispartof IEEE transactions on industry applications, 2023-11, Vol.59 (6), p.6837-6851
issn 0093-9994
1939-9367
language eng
recordid cdi_proquest_journals_2892368319
source IEEE Electronic Library (IEL)
subjects Active neutral-point-clamped inverter
Algorithms
Circuit faults
Circuits
Current measurement
Fault diagnosis
Inverters
Iterative methods
model predictive control
open-circuit fault
Optimization
permanent magnet synchronous motor
Permanent magnets
Predictive control
Predictive models
Stator windings
Switches
Synchronous motors
title Open-Circuit Fault Diagnosis for Three-Level ANPC Inverter Based on Predictive Current Vector Residual
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T09%3A02%3A53IST&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=Open-Circuit%20Fault%20Diagnosis%20for%20Three-Level%20ANPC%20Inverter%20Based%20on%20Predictive%20Current%20Vector%20Residual&rft.jtitle=IEEE%20transactions%20on%20industry%20applications&rft.au=Li,%20Guohua&rft.date=2023-11&rft.volume=59&rft.issue=6&rft.spage=6837&rft.epage=6851&rft.pages=6837-6851&rft.issn=0093-9994&rft.eissn=1939-9367&rft.coden=ITIACR&rft_id=info:doi/10.1109/TIA.2023.3310491&rft_dat=%3Cproquest_RIE%3E2892368319%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=2892368319&rft_id=info:pmid/&rft_ieee_id=10236476&rfr_iscdi=true