The speed control of brushless DC motor based on fuzzy genetic algorithm
In this paper, the speed control of brushless DC motor based on fuzzy Genetic Algorithm is discussed. The paper uses Genetic Algorithm to optimize the control rules, membership function and scaling factors of fuzzy control system. At last, the simulation of optimized fuzzy control system is carried...
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description | In this paper, the speed control of brushless DC motor based on fuzzy Genetic Algorithm is discussed. The paper uses Genetic Algorithm to optimize the control rules, membership function and scaling factors of fuzzy control system. At last, the simulation of optimized fuzzy control system is carried out. The result of simulation indicated that the optimized control system could give a good control performance. |
doi_str_mv | 10.1109/CCDC.2013.6561598 |
format | Conference Proceeding |
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The paper uses Genetic Algorithm to optimize the control rules, membership function and scaling factors of fuzzy control system. At last, the simulation of optimized fuzzy control system is carried out. The result of simulation indicated that the optimized control system could give a good control performance.</description><identifier>ISSN: 1948-9439</identifier><identifier>ISBN: 9781467355339</identifier><identifier>ISBN: 146735533X</identifier><identifier>EISSN: 1948-9447</identifier><identifier>EISBN: 9781467355322</identifier><identifier>EISBN: 9781467355346</identifier><identifier>EISBN: 1467355321</identifier><identifier>EISBN: 1467355348</identifier><identifier>DOI: 10.1109/CCDC.2013.6561598</identifier><language>eng</language><publisher>IEEE</publisher><subject>BLDCM ; Equations ; Fuzzy control ; Genetic Algorithm ; Genetic algorithms ; Mathematical model ; MATLAB ; Niobium ; Stator windings</subject><ispartof>2013 25th Chinese Control and Decision Conference (CCDC), 2013, p.3737-3740</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/6561598$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27903,54897</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6561598$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gu Deying</creatorcontrib><creatorcontrib>Xia Rui</creatorcontrib><title>The speed control of brushless DC motor based on fuzzy genetic algorithm</title><title>2013 25th Chinese Control and Decision Conference (CCDC)</title><addtitle>CCDC</addtitle><description>In this paper, the speed control of brushless DC motor based on fuzzy Genetic Algorithm is discussed. The paper uses Genetic Algorithm to optimize the control rules, membership function and scaling factors of fuzzy control system. At last, the simulation of optimized fuzzy control system is carried out. The result of simulation indicated that the optimized control system could give a good control performance.</description><subject>BLDCM</subject><subject>Equations</subject><subject>Fuzzy control</subject><subject>Genetic Algorithm</subject><subject>Genetic algorithms</subject><subject>Mathematical model</subject><subject>MATLAB</subject><subject>Niobium</subject><subject>Stator windings</subject><issn>1948-9439</issn><issn>1948-9447</issn><isbn>9781467355339</isbn><isbn>146735533X</isbn><isbn>9781467355322</isbn><isbn>9781467355346</isbn><isbn>1467355321</isbn><isbn>1467355348</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtqwzAURNUXNKT-gNKNfsCupKvnsihtUwh0k66DYl_HLrYVLGeRfH0DDYWuZnGGAzOEPHJWcM7cs_cLXwjGodBKc-XsFcmcsVxqA0qBENdkxp20uZPS3Pxj4G7_GLh7kqX0zRg7a7VlbEaW6wZp2iNWtIzDNMaOxppux0NqOkyJLjzt4xRHug3p3IkDrQ-n05HucMCpLWnodnFsp6Z_IHd16BJml5yTr7fXtV_mq8_3D_-yyltu1JRLFBo0E2BM6ayEoB13HCu0QtUulMoENHWpRCWFABGYVg7OawJDZBUYmJOnX2-LiJv92PZhPG4uv8APNX1QlQ</recordid><startdate>201305</startdate><enddate>201305</enddate><creator>Gu Deying</creator><creator>Xia Rui</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201305</creationdate><title>The speed control of brushless DC motor based on fuzzy genetic algorithm</title><author>Gu Deying ; Xia Rui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-4e263602377c9843a69191ede825f9ac57ae7fc52d42232a06593814a0ee0d373</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>BLDCM</topic><topic>Equations</topic><topic>Fuzzy control</topic><topic>Genetic Algorithm</topic><topic>Genetic algorithms</topic><topic>Mathematical model</topic><topic>MATLAB</topic><topic>Niobium</topic><topic>Stator windings</topic><toplevel>online_resources</toplevel><creatorcontrib>Gu Deying</creatorcontrib><creatorcontrib>Xia Rui</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>Gu Deying</au><au>Xia Rui</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The speed control of brushless DC motor based on fuzzy genetic algorithm</atitle><btitle>2013 25th Chinese Control and Decision Conference (CCDC)</btitle><stitle>CCDC</stitle><date>2013-05</date><risdate>2013</risdate><spage>3737</spage><epage>3740</epage><pages>3737-3740</pages><issn>1948-9439</issn><eissn>1948-9447</eissn><isbn>9781467355339</isbn><isbn>146735533X</isbn><eisbn>9781467355322</eisbn><eisbn>9781467355346</eisbn><eisbn>1467355321</eisbn><eisbn>1467355348</eisbn><abstract>In this paper, the speed control of brushless DC motor based on fuzzy Genetic Algorithm is discussed. The paper uses Genetic Algorithm to optimize the control rules, membership function and scaling factors of fuzzy control system. At last, the simulation of optimized fuzzy control system is carried out. The result of simulation indicated that the optimized control system could give a good control performance.</abstract><pub>IEEE</pub><doi>10.1109/CCDC.2013.6561598</doi><tpages>4</tpages></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | BLDCM Equations Fuzzy control Genetic Algorithm Genetic algorithms Mathematical model MATLAB Niobium Stator windings |
title | The speed control of brushless DC motor based on fuzzy genetic algorithm |
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