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Design of HTS Linear Induction Motor using GA and the Finite Element Method
This paper presents the application of Genetic Algorithm (GA) and the Finite Element Method (FEM) for optimal design of a High Temperature Superconducting Linear Induction Motor (HTS LIM). The design procedure is much different from that of traditional Linear Induction Motors (LIMs). First, the GA m...
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creator | Jia Zhao Wei Zhang Jin Fang Zhongping Yang Zheng, Trillion Q Youmei Liu |
description | This paper presents the application of Genetic Algorithm (GA) and the Finite Element Method (FEM) for optimal design of a High Temperature Superconducting Linear Induction Motor (HTS LIM). The design procedure is much different from that of traditional Linear Induction Motors (LIMs). First, the GA method is used to produce a series of optimal design data. The product of efficiency and power factor is taken as an objective function in order to maximize the product under a constant current drive; second, due to the new and unique structure the model of the motor using the optimal data should be analyzed with the finite element method in order to confirm the accuracy of the model. As a result, it is known that the novel method is very accurate as an HTS LIM optimization technique. |
doi_str_mv | 10.1109/ICIEA.2010.5517100 |
format | conference_proceeding |
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The design procedure is much different from that of traditional Linear Induction Motors (LIMs). First, the GA method is used to produce a series of optimal design data. The product of efficiency and power factor is taken as an objective function in order to maximize the product under a constant current drive; second, due to the new and unique structure the model of the motor using the optimal data should be analyzed with the finite element method in order to confirm the accuracy of the model. 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The design procedure is much different from that of traditional Linear Induction Motors (LIMs). First, the GA method is used to produce a series of optimal design data. The product of efficiency and power factor is taken as an objective function in order to maximize the product under a constant current drive; second, due to the new and unique structure the model of the motor using the optimal data should be analyzed with the finite element method in order to confirm the accuracy of the model. As a result, it is known that the novel method is very accurate as an HTS LIM optimization technique.</description><subject>Algorithm design and analysis</subject><subject>Design</subject><subject>Finite Element Method</subject><subject>Finite element methods</subject><subject>Genetic Algorithm</subject><subject>Genetic algorithms</subject><subject>High temperature superconductors</subject><subject>HTS Linear Induction Motor</subject><subject>Induction motors</subject><subject>Iron</subject><subject>Magnetic cores</subject><subject>Reactive power</subject><subject>Superconducting coils</subject><subject>Superconducting filaments and wires</subject><issn>2156-2318</issn><issn>2158-2297</issn><isbn>1424450454</isbn><isbn>9781424450459</isbn><isbn>1424450462</isbn><isbn>9781424450466</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFkMtuwjAQRd0HUoHyA-3GPxA6nozjeIkoj6igLsoeOWQCrsCpErPo3xe1SL2bo6sj3cUV4knBWCmwL8W0mE3GCJeutTIK4EYMFCGRBsrwVvRR6TxBtObuX2i6_xVZgqnKe2KAANaCgVw9iFHXfcIlpFGj6Yu3V-78PsimlsvNh1z5wK6VRajOu-ibINdNbFp57nzYy8VEulDJeGA598FHlrMjnzhEueZ4aKpH0avdsePRlUOxmc8202Wyel8U08kq8RZiYq1Oia1xZK1h0I4ztavT3FDFVKeogZlsmVOJkGNtsMyIXWVLJp1VmtKheP6b9cy8_Wr9ybXf2-tB6Q9UtFFm</recordid><startdate>201006</startdate><enddate>201006</enddate><creator>Jia Zhao</creator><creator>Wei Zhang</creator><creator>Jin Fang</creator><creator>Zhongping Yang</creator><creator>Zheng, Trillion Q</creator><creator>Youmei Liu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201006</creationdate><title>Design of HTS Linear Induction Motor using GA and the Finite Element Method</title><author>Jia Zhao ; Wei Zhang ; Jin Fang ; Zhongping Yang ; Zheng, Trillion Q ; Youmei Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-99534e97a4997e05ae61cf3874de4f3250ee49b84b2082f72b64ead9be456d543</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Algorithm design and analysis</topic><topic>Design</topic><topic>Finite Element Method</topic><topic>Finite element methods</topic><topic>Genetic Algorithm</topic><topic>Genetic algorithms</topic><topic>High temperature superconductors</topic><topic>HTS Linear Induction Motor</topic><topic>Induction motors</topic><topic>Iron</topic><topic>Magnetic cores</topic><topic>Reactive power</topic><topic>Superconducting coils</topic><topic>Superconducting filaments and wires</topic><toplevel>online_resources</toplevel><creatorcontrib>Jia Zhao</creatorcontrib><creatorcontrib>Wei Zhang</creatorcontrib><creatorcontrib>Jin Fang</creatorcontrib><creatorcontrib>Zhongping Yang</creatorcontrib><creatorcontrib>Zheng, Trillion Q</creatorcontrib><creatorcontrib>Youmei Liu</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 Xplore</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>Jia Zhao</au><au>Wei Zhang</au><au>Jin Fang</au><au>Zhongping Yang</au><au>Zheng, Trillion Q</au><au>Youmei Liu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Design of HTS Linear Induction Motor using GA and the Finite Element Method</atitle><btitle>2010 5th IEEE Conference on Industrial Electronics and Applications</btitle><stitle>ICIEA</stitle><date>2010-06</date><risdate>2010</risdate><spage>527</spage><epage>531</epage><pages>527-531</pages><issn>2156-2318</issn><eissn>2158-2297</eissn><isbn>1424450454</isbn><isbn>9781424450459</isbn><eisbn>1424450462</eisbn><eisbn>9781424450466</eisbn><abstract>This paper presents the application of Genetic Algorithm (GA) and the Finite Element Method (FEM) for optimal design of a High Temperature Superconducting Linear Induction Motor (HTS LIM). The design procedure is much different from that of traditional Linear Induction Motors (LIMs). First, the GA method is used to produce a series of optimal design data. The product of efficiency and power factor is taken as an objective function in order to maximize the product under a constant current drive; second, due to the new and unique structure the model of the motor using the optimal data should be analyzed with the finite element method in order to confirm the accuracy of the model. As a result, it is known that the novel method is very accurate as an HTS LIM optimization technique.</abstract><pub>IEEE</pub><doi>10.1109/ICIEA.2010.5517100</doi><tpages>5</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Algorithm design and analysis Design Finite Element Method Finite element methods Genetic Algorithm Genetic algorithms High temperature superconductors HTS Linear Induction Motor Induction motors Iron Magnetic cores Reactive power Superconducting coils Superconducting filaments and wires |
title | Design of HTS Linear Induction Motor using GA and the Finite Element Method |
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