Nonlinear Signal-Filtering Technique With Real-Time Gain Booster for Feedback System Applications
This letter devises a novel signal-filtering technique subject to the feedback structure without the exact source signal dynamics information. The main idea of this result is comprised of two parts: first, the combination of the Luenberger and disturbance observer design techniques to improve the di...
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Veröffentlicht in: | IEEE signal processing letters 2020, Vol.27, p.2183-2187 |
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creator | Kim, Seok-Kyoon Kim, Ki-Chan Ahn, Choon Ki |
description | This letter devises a novel signal-filtering technique subject to the feedback structure without the exact source signal dynamics information. The main idea of this result is comprised of two parts: first, the combination of the Luenberger and disturbance observer design techniques to improve the disturbance rejection capability in the feedback structure; second, the closed-form filtering gain-boosting mechanism updating the gain into the direction of the filtering error reduction. It is experimentally confirmed that the proposed filter contributes to lowering the current regulation performance degradation level from the filtering performance improvement using a 500-W permanent-magnet synchronous motor driven by the three-phase inverter. |
doi_str_mv | 10.1109/LSP.2020.3044132 |
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The main idea of this result is comprised of two parts: first, the combination of the Luenberger and disturbance observer design techniques to improve the disturbance rejection capability in the feedback structure; second, the closed-form filtering gain-boosting mechanism updating the gain into the direction of the filtering error reduction. It is experimentally confirmed that the proposed filter contributes to lowering the current regulation performance degradation level from the filtering performance improvement using a 500-W permanent-magnet synchronous motor driven by the three-phase inverter.</description><identifier>ISSN: 1070-9908</identifier><identifier>EISSN: 1558-2361</identifier><identifier>DOI: 10.1109/LSP.2020.3044132</identifier><identifier>CODEN: ISPLEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptive filtering ; disturbance observer ; Disturbance observers ; Error reduction ; Feedback ; feedback structure ; Filtration ; Heuristic algorithms ; Inverters ; Performance analysis ; Performance degradation ; Permanent magnets ; Phase distortion ; Stability analysis ; Synchronous motors ; Two dimensional displays</subject><ispartof>IEEE signal processing letters, 2020, Vol.27, p.2183-2187</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-205b5b6d808f075dbb5f49052c69f922311d5bb25b2c831f311f7559a8f922f3</citedby><cites>FETCH-LOGICAL-c361t-205b5b6d808f075dbb5f49052c69f922311d5bb25b2c831f311f7559a8f922f3</cites><orcidid>0000-0003-4114-445X ; 0000-0003-0993-9658 ; 0000-0002-5600-9923</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9292982$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,4010,27900,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9292982$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kim, Seok-Kyoon</creatorcontrib><creatorcontrib>Kim, Ki-Chan</creatorcontrib><creatorcontrib>Ahn, Choon Ki</creatorcontrib><title>Nonlinear Signal-Filtering Technique With Real-Time Gain Booster for Feedback System Applications</title><title>IEEE signal processing letters</title><addtitle>LSP</addtitle><description>This letter devises a novel signal-filtering technique subject to the feedback structure without the exact source signal dynamics information. The main idea of this result is comprised of two parts: first, the combination of the Luenberger and disturbance observer design techniques to improve the disturbance rejection capability in the feedback structure; second, the closed-form filtering gain-boosting mechanism updating the gain into the direction of the filtering error reduction. It is experimentally confirmed that the proposed filter contributes to lowering the current regulation performance degradation level from the filtering performance improvement using a 500-W permanent-magnet synchronous motor driven by the three-phase inverter.</description><subject>Adaptive filtering</subject><subject>disturbance observer</subject><subject>Disturbance observers</subject><subject>Error reduction</subject><subject>Feedback</subject><subject>feedback structure</subject><subject>Filtration</subject><subject>Heuristic algorithms</subject><subject>Inverters</subject><subject>Performance analysis</subject><subject>Performance degradation</subject><subject>Permanent magnets</subject><subject>Phase distortion</subject><subject>Stability analysis</subject><subject>Synchronous motors</subject><subject>Two dimensional displays</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9UE1PAjEQbYwmIno38dLE8-K03bLtEYmgCVEjm3jctLstFJcttsuBf28JxMxhvt6bvHkI3RMYEQLyabH8HFGgMGKQ54TRCzQgnIuMsjG5TDUUkEkJ4hrdxLgBAEEEHyD17rvWdUYFvHSrTrXZzLW9Ca5b4dLU68797g3-dv0af5m0Ld3W4LlyHX72PiYgtj7gmTGNVvUPXh7SbIsnu13ratU738VbdGVVG83dOQ9ROXspp6_Z4mP-Np0ssjop7DMKXHM9bgQICwVvtOY2l8BpPZZWUsoIabjWlGtaC0Zs6m3BuVTiuLVsiB5PZ3fBJ8mxrzZ-H9JDsaJ5kQsBhEFCwQlVBx9jMLbaBbdV4VARqI4-VsnH6uhjdfYxUR5OFGeM-YdLmkJQ9gdzsW21</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Kim, Seok-Kyoon</creator><creator>Kim, Ki-Chan</creator><creator>Ahn, Choon Ki</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/0000-0003-4114-445X</orcidid><orcidid>https://orcid.org/0000-0003-0993-9658</orcidid><orcidid>https://orcid.org/0000-0002-5600-9923</orcidid></search><sort><creationdate>2020</creationdate><title>Nonlinear Signal-Filtering Technique With Real-Time Gain Booster for Feedback System Applications</title><author>Kim, Seok-Kyoon ; Kim, Ki-Chan ; Ahn, Choon Ki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-205b5b6d808f075dbb5f49052c69f922311d5bb25b2c831f311f7559a8f922f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptive filtering</topic><topic>disturbance observer</topic><topic>Disturbance observers</topic><topic>Error reduction</topic><topic>Feedback</topic><topic>feedback structure</topic><topic>Filtration</topic><topic>Heuristic algorithms</topic><topic>Inverters</topic><topic>Performance analysis</topic><topic>Performance degradation</topic><topic>Permanent magnets</topic><topic>Phase distortion</topic><topic>Stability analysis</topic><topic>Synchronous motors</topic><topic>Two dimensional displays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Seok-Kyoon</creatorcontrib><creatorcontrib>Kim, Ki-Chan</creatorcontrib><creatorcontrib>Ahn, Choon Ki</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 & 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 signal processing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kim, Seok-Kyoon</au><au>Kim, Ki-Chan</au><au>Ahn, Choon Ki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nonlinear Signal-Filtering Technique With Real-Time Gain Booster for Feedback System Applications</atitle><jtitle>IEEE signal processing letters</jtitle><stitle>LSP</stitle><date>2020</date><risdate>2020</risdate><volume>27</volume><spage>2183</spage><epage>2187</epage><pages>2183-2187</pages><issn>1070-9908</issn><eissn>1558-2361</eissn><coden>ISPLEM</coden><abstract>This letter devises a novel signal-filtering technique subject to the feedback structure without the exact source signal dynamics information. The main idea of this result is comprised of two parts: first, the combination of the Luenberger and disturbance observer design techniques to improve the disturbance rejection capability in the feedback structure; second, the closed-form filtering gain-boosting mechanism updating the gain into the direction of the filtering error reduction. It is experimentally confirmed that the proposed filter contributes to lowering the current regulation performance degradation level from the filtering performance improvement using a 500-W permanent-magnet synchronous motor driven by the three-phase inverter.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LSP.2020.3044132</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0003-4114-445X</orcidid><orcidid>https://orcid.org/0000-0003-0993-9658</orcidid><orcidid>https://orcid.org/0000-0002-5600-9923</orcidid></addata></record> |
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subjects | Adaptive filtering disturbance observer Disturbance observers Error reduction Feedback feedback structure Filtration Heuristic algorithms Inverters Performance analysis Performance degradation Permanent magnets Phase distortion Stability analysis Synchronous motors Two dimensional displays |
title | Nonlinear Signal-Filtering Technique With Real-Time Gain Booster for Feedback System Applications |
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