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Fuzzy position control of motor plant with backlash
In this paper, we design a fuzzy system to compensate the delay due to backlash nonlinearity, the fuzzy compensator is constructed from some common-sense rule. We focuses on the feasibility of fuzzy logic controller (FLC) to stabilize the system with uncertain backlash. We prove that under certain c...
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creator | Nam Hoon Kim Uk Youl Huh Jin Geol Kim |
description | In this paper, we design a fuzzy system to compensate the delay due to backlash nonlinearity, the fuzzy compensator is constructed from some common-sense rule. We focuses on the feasibility of fuzzy logic controller (FLC) to stabilize the system with uncertain backlash. We prove that under certain conditions the fuzzy compensator guarantees that the backlash output converges to the desired trajectory. Furthermore, the performance of the proposed controller is compared with that of convention proportional-derivative (PD) controllers. Base on the simulation result, it is found that the proposed controller can be a viable choice due to its robustness against parameter uncertainty. |
doi_str_mv | 10.1109/IECON.2004.1432323 |
format | conference_proceeding |
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We focuses on the feasibility of fuzzy logic controller (FLC) to stabilize the system with uncertain backlash. We prove that under certain conditions the fuzzy compensator guarantees that the backlash output converges to the desired trajectory. Furthermore, the performance of the proposed controller is compared with that of convention proportional-derivative (PD) controllers. Base on the simulation result, it is found that the proposed controller can be a viable choice due to its robustness against parameter uncertainty.</description><identifier>ISBN: 9780780387300</identifier><identifier>ISBN: 0780387309</identifier><identifier>DOI: 10.1109/IECON.2004.1432323</identifier><language>eng</language><publisher>Piscataway NJ: IEEE</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Control system analysis ; Control systems ; Control theory. Systems ; Delay ; Electrical engineering. Electrical power engineering ; Electrical machines ; Exact sciences and technology ; Fuzzy control ; Fuzzy logic ; Fuzzy systems ; PD control ; Position control ; Proportional control ; Regulation and control ; Robust control ; Uncertain systems</subject><ispartof>30th Annual Conference of IEEE Industrial Electronics Society, 2004. 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IECON 2004</title><addtitle>IECON</addtitle><description>In this paper, we design a fuzzy system to compensate the delay due to backlash nonlinearity, the fuzzy compensator is constructed from some common-sense rule. We focuses on the feasibility of fuzzy logic controller (FLC) to stabilize the system with uncertain backlash. We prove that under certain conditions the fuzzy compensator guarantees that the backlash output converges to the desired trajectory. Furthermore, the performance of the proposed controller is compared with that of convention proportional-derivative (PD) controllers. Base on the simulation result, it is found that the proposed controller can be a viable choice due to its robustness against parameter uncertainty.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Control system analysis</subject><subject>Control systems</subject><subject>Control theory. Systems</subject><subject>Delay</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical machines</subject><subject>Exact sciences and technology</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>PD control</subject><subject>Position control</subject><subject>Proportional control</subject><subject>Regulation and control</subject><subject>Robust control</subject><subject>Uncertain systems</subject><isbn>9780780387300</isbn><isbn>0780387309</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFkE9LAzEQxQMiKHW_gF5y8bjrTP64m6MsrRaKvei5ZDcJjW43yyYi7ac30ILze_AO8xgeQ8g9QoUI6mm9bLfvFQMQFQrOMlekUHUDWbypOcANKWL8gjxcSWjULeGrn9PpSKcQffJhpH0Y0xwGGhw9hBRmOg16TPTXpz3tdP896Li_I9dOD9EWF1-Qz9Xyo30rN9vXdfuyKT1ymUqGRtpO9MJxaVEZBkqgU9IBPiPUsu6Yk6YxhusONLNGZZAZtCLXM5IvyOP57qRjrwc367H3cTfN_qDn4w4bYFKwJucezjlvrf1fn1_A_wB1NFCU</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Nam Hoon Kim</creator><creator>Uk Youl Huh</creator><creator>Jin Geol Kim</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>Fuzzy position control of motor plant with backlash</title><author>Nam Hoon Kim ; Uk Youl Huh ; Jin Geol Kim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i135t-21d5eb4c4f35e19d20941f95f01610757b2f5d8dd3ab0a2ed9d9d12d1e4039d53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Control system analysis</topic><topic>Control systems</topic><topic>Control theory. Systems</topic><topic>Delay</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical machines</topic><topic>Exact sciences and technology</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Fuzzy systems</topic><topic>PD control</topic><topic>Position control</topic><topic>Proportional control</topic><topic>Regulation and control</topic><topic>Robust control</topic><topic>Uncertain systems</topic><toplevel>online_resources</toplevel><creatorcontrib>Nam Hoon Kim</creatorcontrib><creatorcontrib>Uk Youl Huh</creatorcontrib><creatorcontrib>Jin Geol Kim</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Nam Hoon Kim</au><au>Uk Youl Huh</au><au>Jin Geol Kim</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fuzzy position control of motor plant with backlash</atitle><btitle>30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004</btitle><stitle>IECON</stitle><date>2004</date><risdate>2004</risdate><volume>3</volume><spage>3190</spage><epage>3195 Vol. 3</epage><pages>3190-3195 Vol. 3</pages><isbn>9780780387300</isbn><isbn>0780387309</isbn><abstract>In this paper, we design a fuzzy system to compensate the delay due to backlash nonlinearity, the fuzzy compensator is constructed from some common-sense rule. We focuses on the feasibility of fuzzy logic controller (FLC) to stabilize the system with uncertain backlash. We prove that under certain conditions the fuzzy compensator guarantees that the backlash output converges to the desired trajectory. Furthermore, the performance of the proposed controller is compared with that of convention proportional-derivative (PD) controllers. Base on the simulation result, it is found that the proposed controller can be a viable choice due to its robustness against parameter uncertainty.</abstract><cop>Piscataway NJ</cop><pub>IEEE</pub><doi>10.1109/IECON.2004.1432323</doi></addata></record> |
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ispartof | 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004, 2004, Vol.3, p.3190-3195 Vol. 3 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Applied sciences Computer science control theory systems Control system analysis Control systems Control theory. Systems Delay Electrical engineering. Electrical power engineering Electrical machines Exact sciences and technology Fuzzy control Fuzzy logic Fuzzy systems PD control Position control Proportional control Regulation and control Robust control Uncertain systems |
title | Fuzzy position control of motor plant with backlash |
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