Data-driven control for noncircular turning tool servo system
Based on the tracking and disturbance rejection requirements for noncircular turning process (NCTP), data-driven control method is applied in tool servo system. A model-free learning adaptive (MFLAC) composite control based noncircular turning process metering strategy with feedforward control and a...
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creator | Cao Rongmin Hou Zhongsheng Zhou Huixing Guan Jingli |
description | Based on the tracking and disturbance rejection requirements for noncircular turning process (NCTP), data-driven control method is applied in tool servo system. A model-free learning adaptive (MFLAC) composite control based noncircular turning process metering strategy with feedforward control and adaptive compensation is presented. In this scheme, a 3-tier composite control structure is adopted, feedforward control, a MFLAC feedback control and a non-linear Radial Basis Function (RBF) based compensator. This modularized controller design makes use of the periodicity of the NCTP effectively and improves the controller performance greatly. |
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A model-free learning adaptive (MFLAC) composite control based noncircular turning process metering strategy with feedforward control and adaptive compensation is presented. In this scheme, a 3-tier composite control structure is adopted, feedforward control, a MFLAC feedback control and a non-linear Radial Basis Function (RBF) based compensator. 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A model-free learning adaptive (MFLAC) composite control based noncircular turning process metering strategy with feedforward control and adaptive compensation is presented. In this scheme, a 3-tier composite control structure is adopted, feedforward control, a MFLAC feedback control and a non-linear Radial Basis Function (RBF) based compensator. This modularized controller design makes use of the periodicity of the NCTP effectively and improves the controller performance greatly.</description><subject>A mode-free learning adaptive control (MFLAC)</subject><subject>Adaptation models</subject><subject>data-driven control</subject><subject>disturbance rejection</subject><subject>Feedforward neural networks</subject><subject>Friction</subject><subject>Mathematical model</subject><subject>noncircular turning</subject><subject>Process control</subject><subject>Servomotors</subject><subject>Turning</subject><issn>1934-1768</issn><issn>2161-2927</issn><isbn>1467325813</isbn><isbn>9781467325813</isbn><isbn>9789881563811</isbn><isbn>988156381X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKQzEUReMLvK39Aif5gcA9eZ-BA6lPKDjRcYlJrkTaRJK00L_3go4WmwUL9hlZobFoLSgtLMA5GThoYBy5uSALkNoIriyISzIACsnAaHtNFq19j6MeEcRA7h5cdyzUdIyZ-pJ7LTs6lUpzyT5Vf9i5Svuh5pS_aC-zbLEeC22n1uP-hlxNbtfi6p9L8vH0-L5-YZu359f1_YYlMKozaYKW0gWjeDARFFgnrZrQ-BCkhCgtKpiFmwdq5BOKmVZ9KvAieiGW5Pavm2KM25-a9q6etlogzJfEL6GJRqE</recordid><startdate>201207</startdate><enddate>201207</enddate><creator>Cao Rongmin</creator><creator>Hou Zhongsheng</creator><creator>Zhou Huixing</creator><creator>Guan Jingli</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201207</creationdate><title>Data-driven control for noncircular turning tool servo system</title><author>Cao Rongmin ; Hou Zhongsheng ; Zhou Huixing ; Guan Jingli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-47d644ad752d7e1518a485f97cdd441e489517e1a4419692f9319685b51c3ec33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>A mode-free learning adaptive control (MFLAC)</topic><topic>Adaptation models</topic><topic>data-driven control</topic><topic>disturbance rejection</topic><topic>Feedforward neural networks</topic><topic>Friction</topic><topic>Mathematical model</topic><topic>noncircular turning</topic><topic>Process control</topic><topic>Servomotors</topic><topic>Turning</topic><toplevel>online_resources</toplevel><creatorcontrib>Cao Rongmin</creatorcontrib><creatorcontrib>Hou Zhongsheng</creatorcontrib><creatorcontrib>Zhou Huixing</creatorcontrib><creatorcontrib>Guan Jingli</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cao Rongmin</au><au>Hou Zhongsheng</au><au>Zhou Huixing</au><au>Guan Jingli</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Data-driven control for noncircular turning tool servo system</atitle><btitle>Proceedings of the 31st Chinese Control Conference</btitle><stitle>ChiCC</stitle><date>2012-07</date><risdate>2012</risdate><spage>7009</spage><epage>7013</epage><pages>7009-7013</pages><issn>1934-1768</issn><eissn>2161-2927</eissn><isbn>1467325813</isbn><isbn>9781467325813</isbn><eisbn>9789881563811</eisbn><eisbn>988156381X</eisbn><abstract>Based on the tracking and disturbance rejection requirements for noncircular turning process (NCTP), data-driven control method is applied in tool servo system. A model-free learning adaptive (MFLAC) composite control based noncircular turning process metering strategy with feedforward control and adaptive compensation is presented. In this scheme, a 3-tier composite control structure is adopted, feedforward control, a MFLAC feedback control and a non-linear Radial Basis Function (RBF) based compensator. This modularized controller design makes use of the periodicity of the NCTP effectively and improves the controller performance greatly.</abstract><pub>IEEE</pub><tpages>5</tpages></addata></record> |
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subjects | A mode-free learning adaptive control (MFLAC) Adaptation models data-driven control disturbance rejection Feedforward neural networks Friction Mathematical model noncircular turning Process control Servomotors Turning |
title | Data-driven control for noncircular turning tool servo system |
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