Maglev system controller design based on the feedback linearization methods
At first, the maglev vehicle and guideway coupling mathematical model is set up. Through the computation of Lie algebra of the model, a linearization transformation matrix is acquired, and then the nonlinear model is transformed as a linear one. After the special nonlinear model characteristics exam...
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| creator | Dongsheng Zou Longhua She Zhizhou Zhang Wensen Chang |
| description | At first, the maglev vehicle and guideway coupling mathematical model is set up. Through the computation of Lie algebra of the model, a linearization transformation matrix is acquired, and then the nonlinear model is transformed as a linear one. After the special nonlinear model characteristics examined, two simple substitutions are adopted to change the nonlinear system into a linear one. Based on the physical meaning of the latter linearized model, a controller for the suspension system of maglev train is designed. Simulations show that the new controller can adapt well to the variance of suspension mass and gap, and keep its dynamic performance, thus it is superior to the classic controller. |
| doi_str_mv | 10.1109/ICINFA.2008.4608197 |
| format | Conference Proceeding |
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Through the computation of Lie algebra of the model, a linearization transformation matrix is acquired, and then the nonlinear model is transformed as a linear one. After the special nonlinear model characteristics examined, two simple substitutions are adopted to change the nonlinear system into a linear one. Based on the physical meaning of the latter linearized model, a controller for the suspension system of maglev train is designed. 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Simulations show that the new controller can adapt well to the variance of suspension mass and gap, and keep its dynamic performance, thus it is superior to the classic controller.</description><subject>coupling</subject><subject>Electromagnets</subject><subject>Equations</subject><subject>feedback linearization</subject><subject>Lie algebra</subject><subject>maglev train</subject><subject>Magnetic levitation</subject><subject>Magnetomechanical effects</subject><subject>Mathematical model</subject><subject>self-adaptive</subject><subject>Springs</subject><subject>Suspensions</subject><isbn>1424421837</isbn><isbn>9781424421831</isbn><isbn>1424421845</isbn><isbn>9781424421848</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkMtOwzAURI1QJWjpF3TjH0jw9SO2l1VEIaLABtaV49y0hjxQbCGVr6eISsxmNDqjWQwhK2A5ALO3VVk9b9Y5Z8zksmAGrL4gc5BcSg5Gqsv_IPSMzH-LlgFouCLLGN_ZSVIJoc01eXxy-w6_aDzGhD3145Cmsetwog3GsB9o7SI2dBxoOiBtEZva-Q_ahQHdFL5dCifUYzqMTbwhs9Z1EZdnX5C3zd1r-ZBtX-6rcr3NAmiVskIr6R001itee2W548yLFoVlVhtnAYtaFgoK4T03nitjajCFaKVGpxQTC7L62w2IuPucQu-m4-78hPgB-ttQFg</recordid><startdate>200806</startdate><enddate>200806</enddate><creator>Dongsheng Zou</creator><creator>Longhua She</creator><creator>Zhizhou Zhang</creator><creator>Wensen Chang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200806</creationdate><title>Maglev system controller design based on the feedback linearization methods</title><author>Dongsheng Zou ; Longhua She ; Zhizhou Zhang ; Wensen Chang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-6754ca1d9c52bc592a20c3fe390978a91e6b465163cc28c2588b1863f47ea5503</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>coupling</topic><topic>Electromagnets</topic><topic>Equations</topic><topic>feedback linearization</topic><topic>Lie algebra</topic><topic>maglev train</topic><topic>Magnetic levitation</topic><topic>Magnetomechanical effects</topic><topic>Mathematical model</topic><topic>self-adaptive</topic><topic>Springs</topic><topic>Suspensions</topic><toplevel>online_resources</toplevel><creatorcontrib>Dongsheng Zou</creatorcontrib><creatorcontrib>Longhua She</creatorcontrib><creatorcontrib>Zhizhou Zhang</creatorcontrib><creatorcontrib>Wensen Chang</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>Dongsheng Zou</au><au>Longhua She</au><au>Zhizhou Zhang</au><au>Wensen Chang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Maglev system controller design based on the feedback linearization methods</atitle><btitle>2008 International Conference on Information and Automation</btitle><stitle>ICINFA</stitle><date>2008-06</date><risdate>2008</risdate><spage>1280</spage><epage>1284</epage><pages>1280-1284</pages><isbn>1424421837</isbn><isbn>9781424421831</isbn><eisbn>1424421845</eisbn><eisbn>9781424421848</eisbn><abstract>At first, the maglev vehicle and guideway coupling mathematical model is set up. Through the computation of Lie algebra of the model, a linearization transformation matrix is acquired, and then the nonlinear model is transformed as a linear one. After the special nonlinear model characteristics examined, two simple substitutions are adopted to change the nonlinear system into a linear one. Based on the physical meaning of the latter linearized model, a controller for the suspension system of maglev train is designed. Simulations show that the new controller can adapt well to the variance of suspension mass and gap, and keep its dynamic performance, thus it is superior to the classic controller.</abstract><pub>IEEE</pub><doi>10.1109/ICINFA.2008.4608197</doi><tpages>5</tpages></addata></record> |
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| subjects | coupling Electromagnets Equations feedback linearization Lie algebra maglev train Magnetic levitation Magnetomechanical effects Mathematical model self-adaptive Springs Suspensions |
| title | Maglev system controller design based on the feedback linearization methods |
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