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Design and Optimization of Interval Type-2 Fuzzy Logic Controller for Delta Parallel Robot Trajectory Control
In the view of the problem of designing and optimization of interval type-2 fuzzy logic controller (IT2 FLC) for Delta robot trajectory control, a systematic design method is put forward in this paper. A type-1 fuzzy logic controller (T1 FLC) is designed and optimized. Then, three kinds of method to...
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Published in: | International journal of fuzzy systems 2017-02, Vol.19 (1), p.190-206 |
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creator | Lu, Xing-Guo Liu, Ming Liu, Jian-Xing |
description | In the view of the problem of designing and optimization of interval type-2 fuzzy logic controller (IT2 FLC) for Delta robot trajectory control, a systematic design method is put forward in this paper. A type-1 fuzzy logic controller (T1 FLC) is designed and optimized. Then, three kinds of method to blur the T1 fuzzy membership functions are proposed to generate IT2 fuzzy sets from the optimized T1 fuzzy sets. A systematic analysis is carried out to study the relationship between blur methods, blur degree and output control surface of IT2 FLC. Output signal enhance coefficient is proposed to make sure the IT2 FLC to provide enough output signal. The optimized IT2 FLC is validated through a set of simulations and by comparing against its type-1 counterpart in the presence of external and internal uncertainties. The simulation results show the optimized IT2 FLC can provide better trajectory tracking performance. |
doi_str_mv | 10.1007/s40815-015-0131-3 |
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A type-1 fuzzy logic controller (T1 FLC) is designed and optimized. Then, three kinds of method to blur the T1 fuzzy membership functions are proposed to generate IT2 fuzzy sets from the optimized T1 fuzzy sets. A systematic analysis is carried out to study the relationship between blur methods, blur degree and output control surface of IT2 FLC. Output signal enhance coefficient is proposed to make sure the IT2 FLC to provide enough output signal. The optimized IT2 FLC is validated through a set of simulations and by comparing against its type-1 counterpart in the presence of external and internal uncertainties. The simulation results show the optimized IT2 FLC can provide better trajectory tracking performance.</description><identifier>ISSN: 1562-2479</identifier><identifier>EISSN: 2199-3211</identifier><identifier>DOI: 10.1007/s40815-015-0131-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Artificial Intelligence ; Computational Intelligence ; Control surfaces ; Control systems design ; Controllers ; Design ; Design optimization ; Engineering ; Fuzzy control ; Fuzzy logic ; Fuzzy sets ; Linguistics ; Management Science ; Mathematical models ; Operations Research ; Optimization ; Robot control ; Robots ; Trajectory control</subject><ispartof>International journal of fuzzy systems, 2017-02, Vol.19 (1), p.190-206</ispartof><rights>Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg 2016</rights><rights>Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg 2016.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-93ec1e108a33bca4fdd0c024223436583491e00e9155e354d3c83402f4f12e183</citedby><cites>FETCH-LOGICAL-c316t-93ec1e108a33bca4fdd0c024223436583491e00e9155e354d3c83402f4f12e183</cites><orcidid>0000-0002-3290-9812</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Lu, Xing-Guo</creatorcontrib><creatorcontrib>Liu, Ming</creatorcontrib><creatorcontrib>Liu, Jian-Xing</creatorcontrib><title>Design and Optimization of Interval Type-2 Fuzzy Logic Controller for Delta Parallel Robot Trajectory Control</title><title>International journal of fuzzy systems</title><addtitle>Int. 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subjects | Artificial Intelligence Computational Intelligence Control surfaces Control systems design Controllers Design Design optimization Engineering Fuzzy control Fuzzy logic Fuzzy sets Linguistics Management Science Mathematical models Operations Research Optimization Robot control Robots Trajectory control |
title | Design and Optimization of Interval Type-2 Fuzzy Logic Controller for Delta Parallel Robot Trajectory Control |
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