Research on the intelligence control for automotive semi-active suspensions using the multibody model
Based on the analysis of the shortcomings of traditional automotive dynamic models, a multi-rigid body model is built, the adaptive control strategy based on neural networks is put forward and the neural identifier and controller are designed in the paper. In order to improve the control effects, a...
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creator | Wang Qidong Zhao Han Chen Wuwei Wang Qirui Fan Dibin |
description | Based on the analysis of the shortcomings of traditional automotive dynamic models, a multi-rigid body model is built, the adaptive control strategy based on neural networks is put forward and the neural identifier and controller are designed in the paper. In order to improve the control effects, a compensating network is added to the control system. Simulation and experiment results show that adaptively controlled semi-active suspensions with nonlinear neural networks can achieve obvious vibration reducing effects. |
doi_str_mv | 10.1109/WCICA.2000.859939 |
format | Conference Proceeding |
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In order to improve the control effects, a compensating network is added to the control system. Simulation and experiment results show that adaptively controlled semi-active suspensions with nonlinear neural networks can achieve obvious vibration reducing effects.</description><identifier>ISBN: 078035995X</identifier><identifier>ISBN: 9780780359956</identifier><identifier>DOI: 10.1109/WCICA.2000.859939</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive control ; Automotive engineering ; Control systems ; Intelligent control ; Intelligent vehicles ; Neural networks ; Paper technology ; Suspensions ; Vehicle dynamics ; Vibration control</subject><ispartof>Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. 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Simulation and experiment results show that adaptively controlled semi-active suspensions with nonlinear neural networks can achieve obvious vibration reducing effects.</description><subject>Adaptive control</subject><subject>Automotive engineering</subject><subject>Control systems</subject><subject>Intelligent control</subject><subject>Intelligent vehicles</subject><subject>Neural networks</subject><subject>Paper technology</subject><subject>Suspensions</subject><subject>Vehicle dynamics</subject><subject>Vibration control</subject><isbn>078035995X</isbn><isbn>9780780359956</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jsFqAjEURQNFsLV-gF29H3DMmBk6WZahUrcitDtJxzf6SpIneZmCf1_Rrl3dczlwuUrNSl2UpbaLz3bdvhVLrXXR1NYa-6Ce9GujzaXUX2M1Ffm5SF1Vxtjlo8INCrrUHYEj5CMCxYze0wFjh9BxzIk99JzADZkDZ_pFEAw0d92NBzlhFOIoMAjFw3UlDD7TN-_PEHiP_lmNeucFp_85US-r9237MSdE3J0SBZfOu9thc1f-ARH6R6g</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Wang Qidong</creator><creator>Zhao Han</creator><creator>Chen Wuwei</creator><creator>Wang Qirui</creator><creator>Fan Dibin</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2000</creationdate><title>Research on the intelligence control for automotive semi-active suspensions using the multibody model</title><author>Wang Qidong ; Zhao Han ; Chen Wuwei ; Wang Qirui ; Fan Dibin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_8599393</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Adaptive control</topic><topic>Automotive engineering</topic><topic>Control systems</topic><topic>Intelligent control</topic><topic>Intelligent vehicles</topic><topic>Neural networks</topic><topic>Paper technology</topic><topic>Suspensions</topic><topic>Vehicle dynamics</topic><topic>Vibration control</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang Qidong</creatorcontrib><creatorcontrib>Zhao Han</creatorcontrib><creatorcontrib>Chen Wuwei</creatorcontrib><creatorcontrib>Wang Qirui</creatorcontrib><creatorcontrib>Fan Dibin</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>Wang Qidong</au><au>Zhao Han</au><au>Chen Wuwei</au><au>Wang Qirui</au><au>Fan Dibin</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Research on the intelligence control for automotive semi-active suspensions using the multibody model</atitle><btitle>Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393)</btitle><stitle>WCICA</stitle><date>2000</date><risdate>2000</risdate><volume>1</volume><spage>160</spage><epage>163 vol.1</epage><pages>160-163 vol.1</pages><isbn>078035995X</isbn><isbn>9780780359956</isbn><abstract>Based on the analysis of the shortcomings of traditional automotive dynamic models, a multi-rigid body model is built, the adaptive control strategy based on neural networks is put forward and the neural identifier and controller are designed in the paper. In order to improve the control effects, a compensating network is added to the control system. Simulation and experiment results show that adaptively controlled semi-active suspensions with nonlinear neural networks can achieve obvious vibration reducing effects.</abstract><pub>IEEE</pub><doi>10.1109/WCICA.2000.859939</doi></addata></record> |
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ispartof | Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393), 2000, Vol.1, p.160-163 vol.1 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptive control Automotive engineering Control systems Intelligent control Intelligent vehicles Neural networks Paper technology Suspensions Vehicle dynamics Vibration control |
title | Research on the intelligence control for automotive semi-active suspensions using the multibody model |
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