Modeling and simulation of fuzzy control to traction control system of the four-wheel-drive vehicle
A mathematical model of the acceleration process of four-wheel-drive vehicle was established and a Traction Control System (TCS) which takes driving slip ratio as the control object was realized with fuzzy control method. The fuzzy controller was designed with Fuzzy Logic Toolbox of MATLAB, and dyna...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | V2-95 |
---|---|
container_issue | |
container_start_page | V2-92 |
container_title | |
container_volume | 2 |
creator | Zhixin Liu Yongwan Shi Hong Chen Xiaolong Zhang |
description | A mathematical model of the acceleration process of four-wheel-drive vehicle was established and a Traction Control System (TCS) which takes driving slip ratio as the control object was realized with fuzzy control method. The fuzzy controller was designed with Fuzzy Logic Toolbox of MATLAB, and dynamic simulation has been carried out with SIMULINK. The result showed that TCS based on fuzzy control could control driving slip round the optimal value, improve the performance of traction and kinetics effectively, and prevent driving wheel from excessive spinning. |
doi_str_mv | 10.1109/ICFCC.2010.5497348 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5497348</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5497348</ieee_id><sourcerecordid>5497348</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-943f55b3d4983d290c8d2319ca653828f6f02b687b3417ac45d263eaa6be949d3</originalsourceid><addsrcrecordid>eNpVUL1OwzAYNEJIoJIXgMUvkOLfxB5RRKFSEUv3yrE_E6MkRolTlD49hZaBW073oxsOoTtKlpQS_bCuVlW1ZOSopdAlF-oCZbpUVDAhpGKcX_7TVF-jbBw_yBFCskLKG2Rfo4M29O_Y9A6PoZtak0LscfTYT4fDjG3s0xBbnCJOg7G_4Z83zmOC7qebGsA-TkP-1QC0uRvCHvAemmBbuEVX3rQjZGdeoO3qaVu95Ju353X1uMmDJinXgnspa-6EVtwxTaxyjFNtTSG5YsoXnrC6UGXNBS2NFdKxgoMxRQ1aaMcX6P40GwBg9zmEzgzz7vwM_wamNlgt</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Modeling and simulation of fuzzy control to traction control system of the four-wheel-drive vehicle</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Zhixin Liu ; Yongwan Shi ; Hong Chen ; Xiaolong Zhang</creator><creatorcontrib>Zhixin Liu ; Yongwan Shi ; Hong Chen ; Xiaolong Zhang</creatorcontrib><description>A mathematical model of the acceleration process of four-wheel-drive vehicle was established and a Traction Control System (TCS) which takes driving slip ratio as the control object was realized with fuzzy control method. The fuzzy controller was designed with Fuzzy Logic Toolbox of MATLAB, and dynamic simulation has been carried out with SIMULINK. The result showed that TCS based on fuzzy control could control driving slip round the optimal value, improve the performance of traction and kinetics effectively, and prevent driving wheel from excessive spinning.</description><identifier>ISBN: 9781424458219</identifier><identifier>ISBN: 1424458218</identifier><identifier>EISBN: 9781424458233</identifier><identifier>EISBN: 1424458242</identifier><identifier>EISBN: 1424458234</identifier><identifier>EISBN: 9781424458240</identifier><identifier>DOI: 10.1109/ICFCC.2010.5497348</identifier><language>eng</language><publisher>IEEE</publisher><subject>Acceleration ; Control system synthesis ; Four-wheel-drive vehicle ; Fuzzy control ; Fuzzy logic ; Kinetic theory ; Mathematical model ; MATLAB ; Modeling ; Optimal control ; Traction control system ; Vehicle driving ; Vehicle dynamics</subject><ispartof>2010 2nd International Conference on Future Computer and Communication, 2010, Vol.2, p.V2-92-V2-95</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/5497348$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5497348$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhixin Liu</creatorcontrib><creatorcontrib>Yongwan Shi</creatorcontrib><creatorcontrib>Hong Chen</creatorcontrib><creatorcontrib>Xiaolong Zhang</creatorcontrib><title>Modeling and simulation of fuzzy control to traction control system of the four-wheel-drive vehicle</title><title>2010 2nd International Conference on Future Computer and Communication</title><addtitle>ICFCC</addtitle><description>A mathematical model of the acceleration process of four-wheel-drive vehicle was established and a Traction Control System (TCS) which takes driving slip ratio as the control object was realized with fuzzy control method. The fuzzy controller was designed with Fuzzy Logic Toolbox of MATLAB, and dynamic simulation has been carried out with SIMULINK. The result showed that TCS based on fuzzy control could control driving slip round the optimal value, improve the performance of traction and kinetics effectively, and prevent driving wheel from excessive spinning.</description><subject>Acceleration</subject><subject>Control system synthesis</subject><subject>Four-wheel-drive vehicle</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Kinetic theory</subject><subject>Mathematical model</subject><subject>MATLAB</subject><subject>Modeling</subject><subject>Optimal control</subject><subject>Traction control system</subject><subject>Vehicle driving</subject><subject>Vehicle dynamics</subject><isbn>9781424458219</isbn><isbn>1424458218</isbn><isbn>9781424458233</isbn><isbn>1424458242</isbn><isbn>1424458234</isbn><isbn>9781424458240</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVUL1OwzAYNEJIoJIXgMUvkOLfxB5RRKFSEUv3yrE_E6MkRolTlD49hZaBW073oxsOoTtKlpQS_bCuVlW1ZOSopdAlF-oCZbpUVDAhpGKcX_7TVF-jbBw_yBFCskLKG2Rfo4M29O_Y9A6PoZtak0LscfTYT4fDjG3s0xBbnCJOg7G_4Z83zmOC7qebGsA-TkP-1QC0uRvCHvAemmBbuEVX3rQjZGdeoO3qaVu95Ju353X1uMmDJinXgnspa-6EVtwxTaxyjFNtTSG5YsoXnrC6UGXNBS2NFdKxgoMxRQ1aaMcX6P40GwBg9zmEzgzz7vwM_wamNlgt</recordid><startdate>201005</startdate><enddate>201005</enddate><creator>Zhixin Liu</creator><creator>Yongwan Shi</creator><creator>Hong Chen</creator><creator>Xiaolong Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201005</creationdate><title>Modeling and simulation of fuzzy control to traction control system of the four-wheel-drive vehicle</title><author>Zhixin Liu ; Yongwan Shi ; Hong Chen ; Xiaolong Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-943f55b3d4983d290c8d2319ca653828f6f02b687b3417ac45d263eaa6be949d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acceleration</topic><topic>Control system synthesis</topic><topic>Four-wheel-drive vehicle</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Kinetic theory</topic><topic>Mathematical model</topic><topic>MATLAB</topic><topic>Modeling</topic><topic>Optimal control</topic><topic>Traction control system</topic><topic>Vehicle driving</topic><topic>Vehicle dynamics</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhixin Liu</creatorcontrib><creatorcontrib>Yongwan Shi</creatorcontrib><creatorcontrib>Hong Chen</creatorcontrib><creatorcontrib>Xiaolong 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>Zhixin Liu</au><au>Yongwan Shi</au><au>Hong Chen</au><au>Xiaolong Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Modeling and simulation of fuzzy control to traction control system of the four-wheel-drive vehicle</atitle><btitle>2010 2nd International Conference on Future Computer and Communication</btitle><stitle>ICFCC</stitle><date>2010-05</date><risdate>2010</risdate><volume>2</volume><spage>V2-92</spage><epage>V2-95</epage><pages>V2-92-V2-95</pages><isbn>9781424458219</isbn><isbn>1424458218</isbn><eisbn>9781424458233</eisbn><eisbn>1424458242</eisbn><eisbn>1424458234</eisbn><eisbn>9781424458240</eisbn><abstract>A mathematical model of the acceleration process of four-wheel-drive vehicle was established and a Traction Control System (TCS) which takes driving slip ratio as the control object was realized with fuzzy control method. The fuzzy controller was designed with Fuzzy Logic Toolbox of MATLAB, and dynamic simulation has been carried out with SIMULINK. The result showed that TCS based on fuzzy control could control driving slip round the optimal value, improve the performance of traction and kinetics effectively, and prevent driving wheel from excessive spinning.</abstract><pub>IEEE</pub><doi>10.1109/ICFCC.2010.5497348</doi></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 9781424458219 |
ispartof | 2010 2nd International Conference on Future Computer and Communication, 2010, Vol.2, p.V2-92-V2-95 |
issn | |
language | eng |
recordid | cdi_ieee_primary_5497348 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Acceleration Control system synthesis Four-wheel-drive vehicle Fuzzy control Fuzzy logic Kinetic theory Mathematical model MATLAB Modeling Optimal control Traction control system Vehicle driving Vehicle dynamics |
title | Modeling and simulation of fuzzy control to traction control system of the four-wheel-drive vehicle |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T08%3A07%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Modeling%20and%20simulation%20of%20fuzzy%20control%20to%20traction%20control%20system%20of%20the%20four-wheel-drive%20vehicle&rft.btitle=2010%202nd%20International%20Conference%20on%20Future%20Computer%20and%20Communication&rft.au=Zhixin%20Liu&rft.date=2010-05&rft.volume=2&rft.spage=V2-92&rft.epage=V2-95&rft.pages=V2-92-V2-95&rft.isbn=9781424458219&rft.isbn_list=1424458218&rft_id=info:doi/10.1109/ICFCC.2010.5497348&rft_dat=%3Cieee_6IE%3E5497348%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424458233&rft.eisbn_list=1424458242&rft.eisbn_list=1424458234&rft.eisbn_list=9781424458240&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5497348&rfr_iscdi=true |