Control of Clutch Engagement for AMT Based on Fuzzy Logic
As the application of automatic control theory on traditional manual transmission (MT), automatic manual transmission (AMT) regards the control of clutch engagement as a key process to improve automobile performance. Improper control would result in the decrease of vehicle comfort even the failure o...
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creator | Jinyu Qu Yirui Zhang |
description | As the application of automatic control theory on traditional manual transmission (MT), automatic manual transmission (AMT) regards the control of clutch engagement as a key process to improve automobile performance. Improper control would result in the decrease of vehicle comfort even the failure of shift. The combination of fuzzy control theory and AMT technology is helpful to develop vehicle automation as well as auto shifting. In this paper, the application of fuzzy control theory on AMT clutch engagement controlling was proposed and the effect analyzed based on modeling and simulation. As a result, the active role brought by the application of fuzzy logic was verified. |
doi_str_mv | 10.1109/ISISE.2010.72 |
format | Conference Proceeding |
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Improper control would result in the decrease of vehicle comfort even the failure of shift. The combination of fuzzy control theory and AMT technology is helpful to develop vehicle automation as well as auto shifting. In this paper, the application of fuzzy control theory on AMT clutch engagement controlling was proposed and the effect analyzed based on modeling and simulation. As a result, the active role brought by the application of fuzzy logic was verified.</description><identifier>ISSN: 2160-1283</identifier><identifier>ISBN: 9781612844282</identifier><identifier>ISBN: 1612844286</identifier><identifier>DOI: 10.1109/ISISE.2010.72</identifier><identifier>LCCN: 2010943426</identifier><language>eng</language><publisher>IEEE</publisher><subject>AMT ; Analytical models ; automatic control ; Driver circuits ; Friction ; Fuzzy control ; fuzzy control theory ; Graphics ; Mathematical model ; Vehicles</subject><ispartof>2010 Third International Symposium on Information Science and Engineering, 2010, p.47-50</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/5945048$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,27927,54922</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5945048$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jinyu Qu</creatorcontrib><creatorcontrib>Yirui Zhang</creatorcontrib><title>Control of Clutch Engagement for AMT Based on Fuzzy Logic</title><title>2010 Third International Symposium on Information Science and Engineering</title><addtitle>isise</addtitle><description>As the application of automatic control theory on traditional manual transmission (MT), automatic manual transmission (AMT) regards the control of clutch engagement as a key process to improve automobile performance. Improper control would result in the decrease of vehicle comfort even the failure of shift. The combination of fuzzy control theory and AMT technology is helpful to develop vehicle automation as well as auto shifting. In this paper, the application of fuzzy control theory on AMT clutch engagement controlling was proposed and the effect analyzed based on modeling and simulation. As a result, the active role brought by the application of fuzzy logic was verified.</description><subject>AMT</subject><subject>Analytical models</subject><subject>automatic control</subject><subject>Driver circuits</subject><subject>Friction</subject><subject>Fuzzy control</subject><subject>fuzzy control theory</subject><subject>Graphics</subject><subject>Mathematical model</subject><subject>Vehicles</subject><issn>2160-1283</issn><isbn>9781612844282</isbn><isbn>1612844286</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjk1Pg0AURSfRJtbK0pWb-QPUN2-G-VhWQpUE46LsmwFmEEMZA3TR_noxuro5yc25l5BHBlvGwDznh_yQbREWVnhDIqM0kwy1EKjxlqyRSYgX5ity_9sygguUdySapi8A4ExpEGpNTBqGeQw9DZ6m_XmuP2k2tLZ1JzfM1IeR7t5L-mIn19Aw0P35er3QIrRd_UBW3vaTi_5zQ8p9VqZvcfHxmqe7Iu4MzLGwqOrKGIuM6dqDXJaXb7Zi4DRqiZwrZX2T-EQmvoJKeY2y4dpJrR1KviFPf9rOOXf8HruTHS_HxIgEhOY_V5pGnw</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Jinyu Qu</creator><creator>Yirui Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201012</creationdate><title>Control of Clutch Engagement for AMT Based on Fuzzy Logic</title><author>Jinyu Qu ; Yirui Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-4a27cb99a2118cf06317216ab10e828623377afd5f565fb0b7f826d38e688e263</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>AMT</topic><topic>Analytical models</topic><topic>automatic control</topic><topic>Driver circuits</topic><topic>Friction</topic><topic>Fuzzy control</topic><topic>fuzzy control theory</topic><topic>Graphics</topic><topic>Mathematical model</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Jinyu Qu</creatorcontrib><creatorcontrib>Yirui Zhang</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>Jinyu Qu</au><au>Yirui Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Control of Clutch Engagement for AMT Based on Fuzzy Logic</atitle><btitle>2010 Third International Symposium on Information Science and Engineering</btitle><stitle>isise</stitle><date>2010-12</date><risdate>2010</risdate><spage>47</spage><epage>50</epage><pages>47-50</pages><issn>2160-1283</issn><isbn>9781612844282</isbn><isbn>1612844286</isbn><abstract>As the application of automatic control theory on traditional manual transmission (MT), automatic manual transmission (AMT) regards the control of clutch engagement as a key process to improve automobile performance. Improper control would result in the decrease of vehicle comfort even the failure of shift. The combination of fuzzy control theory and AMT technology is helpful to develop vehicle automation as well as auto shifting. In this paper, the application of fuzzy control theory on AMT clutch engagement controlling was proposed and the effect analyzed based on modeling and simulation. As a result, the active role brought by the application of fuzzy logic was verified.</abstract><pub>IEEE</pub><doi>10.1109/ISISE.2010.72</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | AMT Analytical models automatic control Driver circuits Friction Fuzzy control fuzzy control theory Graphics Mathematical model Vehicles |
title | Control of Clutch Engagement for AMT Based on Fuzzy Logic |
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