Multiobjective Optimal Design of Switched Reluctance Linear Launcher
In this paper, based on the comparisons of the stator pole flux density and phase current with corresponding rotary switched reluctance machine, the original design scheme of a 1-kW single-side switched reluctance linear launcher (SRLL) is obtained by a traditional method. To get higher efficiency a...
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| Veröffentlicht in: | IEEE transactions on plasma science 2015-05, Vol.43 (5), p.1339-1345 |
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| creator | Song, S Zhang, M Ge, L Wang, L |
| description | In this paper, based on the comparisons of the stator pole flux density and phase current with corresponding rotary switched reluctance machine, the original design scheme of a 1-kW single-side switched reluctance linear launcher (SRLL) is obtained by a traditional method. To get higher efficiency and smaller force ripple, the genetic algorithm, which is improved to enhance the convergence rate and global accuracy, is applied to optimize the original design scheme. The global optimum values of key dimensions and control parameters are obtained, and the detailed structure of whole SRLL is given as well. Then a detailed equivalent lumped-parameter thermal network (LPTN) model of the considered SRLL is built, and temperature rises of some parts are obtained. To test the feasibility of the LPTN model, a 2-D finite element thermal model of the SRLL is built, and the temperature rises are obtained. The results from LPTN model match those from the finite-element method very well. Finally, the preliminary tests of the prototype of designed SRLL are carried out and the experimental results are presented. |
| doi_str_mv | 10.1109/TPS.2015.2416204 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_1682696132</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7078853</ieee_id><sourcerecordid>3693278391</sourcerecordid><originalsourceid>FETCH-LOGICAL-c431t-e6d256001e7f2e1ef8992fbc0bd0d8e141a02972a41601a4c9551eafa365df643</originalsourceid><addsrcrecordid>eNo9kM9LwzAUx4MoOKd3wUvBc-d7SZM2R9n8BZOJm-eQpS_aUduZtor_vRkbnt7hfX_w_TB2iTBBBH2zellOOKCc8AwVh-yIjVALnWqRy2M2AtAiFQWKU3bWdRsAzCTwEZs9D3VftesNub76pmSx7atPWycz6qr3Jml9svypevdBZfJK9eB62zhK5lVDNiRzOzTxFc7Zibd1RxeHO2Zv93er6WM6Xzw8TW_nqcsE9impkksVqyn3nJB8oTX3awfrEsqCMEMLXOfcxgWANnNaSiTrrVCy9CoTY3a9z92G9mugrjebdghNrDSoCq60QsGjCvYqF9quC-TNNsRN4dcgmB0rE1mZHStzYBUtV3tLRUT_8hzyopBC_AGc5WRk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1682696132</pqid></control><display><type>article</type><title>Multiobjective Optimal Design of Switched Reluctance Linear Launcher</title><source>IEEE Electronic Library (IEL)</source><creator>Song, S ; Zhang, M ; Ge, L ; Wang, L</creator><creatorcontrib>Song, S ; Zhang, M ; Ge, L ; Wang, L</creatorcontrib><description>In this paper, based on the comparisons of the stator pole flux density and phase current with corresponding rotary switched reluctance machine, the original design scheme of a 1-kW single-side switched reluctance linear launcher (SRLL) is obtained by a traditional method. To get higher efficiency and smaller force ripple, the genetic algorithm, which is improved to enhance the convergence rate and global accuracy, is applied to optimize the original design scheme. The global optimum values of key dimensions and control parameters are obtained, and the detailed structure of whole SRLL is given as well. Then a detailed equivalent lumped-parameter thermal network (LPTN) model of the considered SRLL is built, and temperature rises of some parts are obtained. To test the feasibility of the LPTN model, a 2-D finite element thermal model of the SRLL is built, and the temperature rises are obtained. The results from LPTN model match those from the finite-element method very well. Finally, the preliminary tests of the prototype of designed SRLL are carried out and the experimental results are presented.</description><identifier>ISSN: 0093-3813</identifier><identifier>EISSN: 1939-9375</identifier><identifier>DOI: 10.1109/TPS.2015.2416204</identifier><identifier>CODEN: ITPSBD</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Density ; Design optimization ; Electric currents ; Electromagnetics ; Finite element analysis ; Genetic algorithm (GA) ; Genetic algorithms ; lumped-parameter thermal network (LPTN) ; optimal design ; Optimization ; Rotors ; Sensitivity analysis ; Stators ; switched reluctance linear launcher (SRLL) ; thermal analysis ; Torque</subject><ispartof>IEEE transactions on plasma science, 2015-05, Vol.43 (5), p.1339-1345</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) May 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-e6d256001e7f2e1ef8992fbc0bd0d8e141a02972a41601a4c9551eafa365df643</citedby><cites>FETCH-LOGICAL-c431t-e6d256001e7f2e1ef8992fbc0bd0d8e141a02972a41601a4c9551eafa365df643</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7078853$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7078853$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Song, S</creatorcontrib><creatorcontrib>Zhang, M</creatorcontrib><creatorcontrib>Ge, L</creatorcontrib><creatorcontrib>Wang, L</creatorcontrib><title>Multiobjective Optimal Design of Switched Reluctance Linear Launcher</title><title>IEEE transactions on plasma science</title><addtitle>TPS</addtitle><description>In this paper, based on the comparisons of the stator pole flux density and phase current with corresponding rotary switched reluctance machine, the original design scheme of a 1-kW single-side switched reluctance linear launcher (SRLL) is obtained by a traditional method. To get higher efficiency and smaller force ripple, the genetic algorithm, which is improved to enhance the convergence rate and global accuracy, is applied to optimize the original design scheme. The global optimum values of key dimensions and control parameters are obtained, and the detailed structure of whole SRLL is given as well. Then a detailed equivalent lumped-parameter thermal network (LPTN) model of the considered SRLL is built, and temperature rises of some parts are obtained. To test the feasibility of the LPTN model, a 2-D finite element thermal model of the SRLL is built, and the temperature rises are obtained. The results from LPTN model match those from the finite-element method very well. Finally, the preliminary tests of the prototype of designed SRLL are carried out and the experimental results are presented.</description><subject>Density</subject><subject>Design optimization</subject><subject>Electric currents</subject><subject>Electromagnetics</subject><subject>Finite element analysis</subject><subject>Genetic algorithm (GA)</subject><subject>Genetic algorithms</subject><subject>lumped-parameter thermal network (LPTN)</subject><subject>optimal design</subject><subject>Optimization</subject><subject>Rotors</subject><subject>Sensitivity analysis</subject><subject>Stators</subject><subject>switched reluctance linear launcher (SRLL)</subject><subject>thermal analysis</subject><subject>Torque</subject><issn>0093-3813</issn><issn>1939-9375</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM9LwzAUx4MoOKd3wUvBc-d7SZM2R9n8BZOJm-eQpS_aUduZtor_vRkbnt7hfX_w_TB2iTBBBH2zellOOKCc8AwVh-yIjVALnWqRy2M2AtAiFQWKU3bWdRsAzCTwEZs9D3VftesNub76pmSx7atPWycz6qr3Jml9svypevdBZfJK9eB62zhK5lVDNiRzOzTxFc7Zibd1RxeHO2Zv93er6WM6Xzw8TW_nqcsE9impkksVqyn3nJB8oTX3awfrEsqCMEMLXOfcxgWANnNaSiTrrVCy9CoTY3a9z92G9mugrjebdghNrDSoCq60QsGjCvYqF9quC-TNNsRN4dcgmB0rE1mZHStzYBUtV3tLRUT_8hzyopBC_AGc5WRk</recordid><startdate>20150501</startdate><enddate>20150501</enddate><creator>Song, S</creator><creator>Zhang, M</creator><creator>Ge, L</creator><creator>Wang, L</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>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20150501</creationdate><title>Multiobjective Optimal Design of Switched Reluctance Linear Launcher</title><author>Song, S ; Zhang, M ; Ge, L ; Wang, L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-e6d256001e7f2e1ef8992fbc0bd0d8e141a02972a41601a4c9551eafa365df643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Density</topic><topic>Design optimization</topic><topic>Electric currents</topic><topic>Electromagnetics</topic><topic>Finite element analysis</topic><topic>Genetic algorithm (GA)</topic><topic>Genetic algorithms</topic><topic>lumped-parameter thermal network (LPTN)</topic><topic>optimal design</topic><topic>Optimization</topic><topic>Rotors</topic><topic>Sensitivity analysis</topic><topic>Stators</topic><topic>switched reluctance linear launcher (SRLL)</topic><topic>thermal analysis</topic><topic>Torque</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, S</creatorcontrib><creatorcontrib>Zhang, M</creatorcontrib><creatorcontrib>Ge, L</creatorcontrib><creatorcontrib>Wang, L</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>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on plasma science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Song, S</au><au>Zhang, M</au><au>Ge, L</au><au>Wang, L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiobjective Optimal Design of Switched Reluctance Linear Launcher</atitle><jtitle>IEEE transactions on plasma science</jtitle><stitle>TPS</stitle><date>2015-05-01</date><risdate>2015</risdate><volume>43</volume><issue>5</issue><spage>1339</spage><epage>1345</epage><pages>1339-1345</pages><issn>0093-3813</issn><eissn>1939-9375</eissn><coden>ITPSBD</coden><abstract>In this paper, based on the comparisons of the stator pole flux density and phase current with corresponding rotary switched reluctance machine, the original design scheme of a 1-kW single-side switched reluctance linear launcher (SRLL) is obtained by a traditional method. To get higher efficiency and smaller force ripple, the genetic algorithm, which is improved to enhance the convergence rate and global accuracy, is applied to optimize the original design scheme. The global optimum values of key dimensions and control parameters are obtained, and the detailed structure of whole SRLL is given as well. Then a detailed equivalent lumped-parameter thermal network (LPTN) model of the considered SRLL is built, and temperature rises of some parts are obtained. To test the feasibility of the LPTN model, a 2-D finite element thermal model of the SRLL is built, and the temperature rises are obtained. The results from LPTN model match those from the finite-element method very well. Finally, the preliminary tests of the prototype of designed SRLL are carried out and the experimental results are presented.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPS.2015.2416204</doi><tpages>7</tpages></addata></record> |
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| subjects | Density Design optimization Electric currents Electromagnetics Finite element analysis Genetic algorithm (GA) Genetic algorithms lumped-parameter thermal network (LPTN) optimal design Optimization Rotors Sensitivity analysis Stators switched reluctance linear launcher (SRLL) thermal analysis Torque |
| title | Multiobjective Optimal Design of Switched Reluctance Linear Launcher |
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