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...
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Veröffentlicht in: | IEEE transactions on industry applications 2023-11, Vol.59 (6), p.6837-6851 |
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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 |
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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. 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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> |
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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 |
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