Application of genetic algorithms in parameters identification of asynchronous motor

The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms and propose that asynchronous motor parameters could be identificated based on genetic algorithm using data of induction motors during starting process. Methods and process are first...

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Hauptverfasser:	Hai Jin, Shouguang Ma, Pengying Du
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	asynchronous motor Cybernetics Frequency conversion Genetic algorithm Genetic algorithms Induction motors Optimization methods Parameter estimation parameters identification Performance evaluation Rotors Testing Torque control
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creator	Hai Jin Shouguang Ma Pengying Du
description	The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms and propose that asynchronous motor parameters could be identificated based on genetic algorithm using data of induction motors during starting process. Methods and process are first presented to estimate all parameters of a asynchronous motor based on genetic algorithm, and then identification are actualized in the stator reference frame and rotor reference frame respectively. In the end, the identification in two reference frames are combined together, and the identification accuracy of all the parameters are improved a lot.
doi_str_mv	10.1109/ICSMC.2009.5346364
format	Conference Proceeding
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Methods and process are first presented to estimate all parameters of a asynchronous motor based on genetic algorithm, and then identification are actualized in the stator reference frame and rotor reference frame respectively. In the end, the identification in two reference frames are combined together, and the identification accuracy of all the parameters are improved a lot.</description><identifier>ISSN: 1062-922X</identifier><identifier>ISBN: 9781424427932</identifier><identifier>ISBN: 1424427932</identifier><identifier>EISSN: 2577-1655</identifier><identifier>EISBN: 9781424427949</identifier><identifier>EISBN: 1424427940</identifier><identifier>DOI: 10.1109/ICSMC.2009.5346364</identifier><identifier>LCCN: 2008906680</identifier><language>eng</language><publisher>IEEE</publisher><subject>asynchronous motor ; Cybernetics ; Frequency conversion ; Genetic algorithm ; Genetic algorithms ; Induction motors ; Optimization methods ; Parameter estimation ; parameters identification ; Performance evaluation ; Rotors ; Testing ; Torque control</subject><ispartof>2009 IEEE International Conference on Systems, Man and Cybernetics, 2009, p.4976-4981</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/5346364$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5346364$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hai Jin</creatorcontrib><creatorcontrib>Shouguang Ma</creatorcontrib><creatorcontrib>Pengying Du</creatorcontrib><title>Application of genetic algorithms in parameters identification of asynchronous motor</title><title>2009 IEEE International Conference on Systems, Man and Cybernetics</title><addtitle>ICSMC</addtitle><description>The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms and propose that asynchronous motor parameters could be identificated based on genetic algorithm using data of induction motors during starting process. 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In the end, the identification in two reference frames are combined together, and the identification accuracy of all the parameters are improved a lot.</description><subject>asynchronous motor</subject><subject>Cybernetics</subject><subject>Frequency conversion</subject><subject>Genetic algorithm</subject><subject>Genetic algorithms</subject><subject>Induction motors</subject><subject>Optimization methods</subject><subject>Parameter estimation</subject><subject>parameters identification</subject><subject>Performance evaluation</subject><subject>Rotors</subject><subject>Testing</subject><subject>Torque control</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>9781424427932</isbn><isbn>1424427932</isbn><isbn>9781424427949</isbn><isbn>1424427940</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVUMlOwzAUNEsl2tIfgEt-IOX52fFyrCKWSkUcKBK3ykns1qiJI8cc-vdEogc4jUajGc0MIXcUlpSCfliX76_lEgH0smBcMMEvyEJLRTlyjlJzfUmmWEiZU1EUV_80htdkSkFgrhE_J2Q2xigNQii4IbNh-AJA4FRNyXbV90dfm-RDlwWX7W1nk68zc9yH6NOhHTLfZb2JprXJxpE1tkve_bGY4dTVhxi68D1kbUgh3pKJM8fBLs44Jx9Pj9vyJd-8Pa_L1Sb3VBYpt46KsRQWFqvaUMNqbJzgSqK2pqLgRM0qgZVSUoyzuEBeAbfSaSqgMZLNyf1vrrfW7vroWxNPu_Nb7AdjhFjI</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Hai Jin</creator><creator>Shouguang Ma</creator><creator>Pengying Du</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200910</creationdate><title>Application of genetic algorithms in parameters identification of asynchronous motor</title><author>Hai Jin ; Shouguang Ma ; Pengying Du</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ef1690625e2bca1a3c2df648729eab10f6c3b62b88764424624b04e7f9160da73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>asynchronous motor</topic><topic>Cybernetics</topic><topic>Frequency conversion</topic><topic>Genetic algorithm</topic><topic>Genetic algorithms</topic><topic>Induction motors</topic><topic>Optimization methods</topic><topic>Parameter estimation</topic><topic>parameters identification</topic><topic>Performance evaluation</topic><topic>Rotors</topic><topic>Testing</topic><topic>Torque control</topic><toplevel>online_resources</toplevel><creatorcontrib>Hai Jin</creatorcontrib><creatorcontrib>Shouguang Ma</creatorcontrib><creatorcontrib>Pengying Du</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hai Jin</au><au>Shouguang Ma</au><au>Pengying Du</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Application of genetic algorithms in parameters identification of asynchronous motor</atitle><btitle>2009 IEEE International Conference on Systems, Man and Cybernetics</btitle><stitle>ICSMC</stitle><date>2009-10</date><risdate>2009</risdate><spage>4976</spage><epage>4981</epage><pages>4976-4981</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>9781424427932</isbn><isbn>1424427932</isbn><eisbn>9781424427949</eisbn><eisbn>1424427940</eisbn><abstract>The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms and propose that asynchronous motor parameters could be identificated based on genetic algorithm using data of induction motors during starting process. Methods and process are first presented to estimate all parameters of a asynchronous motor based on genetic algorithm, and then identification are actualized in the stator reference frame and rotor reference frame respectively. In the end, the identification in two reference frames are combined together, and the identification accuracy of all the parameters are improved a lot.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2009.5346364</doi><tpages>6</tpages></addata></record>
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	asynchronous motor Cybernetics Frequency conversion Genetic algorithm Genetic algorithms Induction motors Optimization methods Parameter estimation parameters identification Performance evaluation Rotors Testing Torque control
title	Application of genetic algorithms in parameters identification of asynchronous motor
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