Path-tracking control of a laser guided vehicle using fuzzy inference system
This paper presents fuzzy inference system to control path-tracking type laser guided vehicle (LGV). In most of the industries, many of LGVs are used because of the safety. LGV can make a virtual path because it can calculate its absolute position. LGV also calculates both the error distance (derail...
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| creator | Hajun Song Jungmin Kim Eunkook Jung Junha Lee Sungshin Kim |
| description | This paper presents fuzzy inference system to control path-tracking type laser guided vehicle (LGV). In most of the industries, many of LGVs are used because of the safety. LGV can make a virtual path because it can calculate its absolute position. LGV also calculates both the error distance (derailment value) from the virtual path and the error angle using the position of LGV. For accurate driving control of LGV, we proposed path-tracking control of a LGV using fuzzy inference system which considered both the error distance and the error angle. To verify the performance of proposed method, we designed and used the simulator for the experiments. |
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In most of the industries, many of LGVs are used because of the safety. LGV can make a virtual path because it can calculate its absolute position. LGV also calculates both the error distance (derailment value) from the virtual path and the error angle using the position of LGV. For accurate driving control of LGV, we proposed path-tracking control of a LGV using fuzzy inference system which considered both the error distance and the error angle. To verify the performance of proposed method, we designed and used the simulator for the experiments.</description><identifier>ISBN: 9781467322478</identifier><identifier>ISBN: 1467322474</identifier><identifier>EISBN: 8993215049</identifier><identifier>EISBN: 9788993215045</identifier><language>eng</language><publisher>IEEE</publisher><subject>AGV ; Automation ; fuzzy control ; Fuzzy logic ; Industries ; Input variables ; Kinematics ; LGV ; LNS ; path-tracking ; Vehicles ; Wheels</subject><ispartof>2012 12th International Conference on Control, Automation and Systems, 2012, p.1666-1668</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/6393108$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6393108$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hajun Song</creatorcontrib><creatorcontrib>Jungmin Kim</creatorcontrib><creatorcontrib>Eunkook Jung</creatorcontrib><creatorcontrib>Junha Lee</creatorcontrib><creatorcontrib>Sungshin Kim</creatorcontrib><title>Path-tracking control of a laser guided vehicle using fuzzy inference system</title><title>2012 12th International Conference on Control, Automation and Systems</title><addtitle>ICCAS</addtitle><description>This paper presents fuzzy inference system to control path-tracking type laser guided vehicle (LGV). In most of the industries, many of LGVs are used because of the safety. LGV can make a virtual path because it can calculate its absolute position. LGV also calculates both the error distance (derailment value) from the virtual path and the error angle using the position of LGV. For accurate driving control of LGV, we proposed path-tracking control of a LGV using fuzzy inference system which considered both the error distance and the error angle. To verify the performance of proposed method, we designed and used the simulator for the experiments.</description><subject>AGV</subject><subject>Automation</subject><subject>fuzzy control</subject><subject>Fuzzy logic</subject><subject>Industries</subject><subject>Input variables</subject><subject>Kinematics</subject><subject>LGV</subject><subject>LNS</subject><subject>path-tracking</subject><subject>Vehicles</subject><subject>Wheels</subject><isbn>9781467322478</isbn><isbn>1467322474</isbn><isbn>8993215049</isbn><isbn>9788993215045</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjstKw0AUQEdEUGu-wM38QODOK5lZSvEFAV10X24md9pp00RmEiH9eiu6OpvD4Vyxe-ucksKAdtescLUVuqqVlLq2t6zI-QAAQkBlwd6x5hOnfTkl9Mc47LgfhymNPR8DR95jpsR3c-yo49-0j74nPudfL8zn88LjECjR4InnJU90emA3AftMxT9XbPPyvFm_lc3H6_v6qSmjg6l0QmOLdacqJU1L2oCUnnQAUkBEl2-DaDqPAh0iQouh9SqYyltyxkm1Yo9_2XjRt18pnjAt20o5JcCqH1qTSns</recordid><startdate>201210</startdate><enddate>201210</enddate><creator>Hajun Song</creator><creator>Jungmin Kim</creator><creator>Eunkook Jung</creator><creator>Junha Lee</creator><creator>Sungshin Kim</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201210</creationdate><title>Path-tracking control of a laser guided vehicle using fuzzy inference system</title><author>Hajun Song ; Jungmin Kim ; Eunkook Jung ; Junha Lee ; Sungshin Kim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-914aba7d36325be45022ce4f0e30eee5045aa5dca1a9aaa0bafbc3f56c8e95923</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>AGV</topic><topic>Automation</topic><topic>fuzzy control</topic><topic>Fuzzy logic</topic><topic>Industries</topic><topic>Input variables</topic><topic>Kinematics</topic><topic>LGV</topic><topic>LNS</topic><topic>path-tracking</topic><topic>Vehicles</topic><topic>Wheels</topic><toplevel>online_resources</toplevel><creatorcontrib>Hajun Song</creatorcontrib><creatorcontrib>Jungmin Kim</creatorcontrib><creatorcontrib>Eunkook Jung</creatorcontrib><creatorcontrib>Junha Lee</creatorcontrib><creatorcontrib>Sungshin Kim</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>Hajun Song</au><au>Jungmin Kim</au><au>Eunkook Jung</au><au>Junha Lee</au><au>Sungshin Kim</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Path-tracking control of a laser guided vehicle using fuzzy inference system</atitle><btitle>2012 12th International Conference on Control, Automation and Systems</btitle><stitle>ICCAS</stitle><date>2012-10</date><risdate>2012</risdate><spage>1666</spage><epage>1668</epage><pages>1666-1668</pages><isbn>9781467322478</isbn><isbn>1467322474</isbn><eisbn>8993215049</eisbn><eisbn>9788993215045</eisbn><abstract>This paper presents fuzzy inference system to control path-tracking type laser guided vehicle (LGV). In most of the industries, many of LGVs are used because of the safety. LGV can make a virtual path because it can calculate its absolute position. LGV also calculates both the error distance (derailment value) from the virtual path and the error angle using the position of LGV. For accurate driving control of LGV, we proposed path-tracking control of a LGV using fuzzy inference system which considered both the error distance and the error angle. To verify the performance of proposed method, we designed and used the simulator for the experiments.</abstract><pub>IEEE</pub><tpages>3</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | AGV Automation fuzzy control Fuzzy logic Industries Input variables Kinematics LGV LNS path-tracking Vehicles Wheels |
| title | Path-tracking control of a laser guided vehicle using fuzzy inference system |
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