Robust control of wheel slip using weighted fuzzy model
The control of wheel slip dynamics is one of the most critical areas of chassis control, since it is the basis for most critical of the main chassis control subsystems like braking control (ABS), traction control (TCS), and stability control (VSC-ESC). In this paper,a nonlinear adaptive controller i...
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creator | Sharifzadeh, Mojtaba Akbari, Ahmad Zamani Behbahani, M Reza |
description | The control of wheel slip dynamics is one of the most critical areas of chassis control, since it is the basis for most critical of the main chassis control subsystems like braking control (ABS), traction control (TCS), and stability control (VSC-ESC). In this paper,a nonlinear adaptive controller is analytically designed for longitudinal wheel slip by using of the new method, based on Lyapunov theory mixed with weighted Fuzzy model. The effectiveness of the method is demonstrated by the experimental results and real-time model simulations with different longitudinal speeds and different kinds of road surface conditions. |
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In this paper,a nonlinear adaptive controller is analytically designed for longitudinal wheel slip by using of the new method, based on Lyapunov theory mixed with weighted Fuzzy model. The effectiveness of the method is demonstrated by the experimental results and real-time model simulations with different longitudinal speeds and different kinds of road surface conditions.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Adaptive control ; Braking ; Braking systems ; Chassis ; Computer simulation ; Control stability ; Control systems design ; Fuzzy control ; Nonlinear analysis ; Nonlinear control ; Robust control ; Slip ; Stability analysis ; Subsystems</subject><ispartof>arXiv.org, 2016-03</ispartof><rights>2016. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). 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The effectiveness of the method is demonstrated by the experimental results and real-time model simulations with different longitudinal speeds and different kinds of road surface conditions.</description><subject>Adaptive control</subject><subject>Braking</subject><subject>Braking systems</subject><subject>Chassis</subject><subject>Computer simulation</subject><subject>Control stability</subject><subject>Control systems design</subject><subject>Fuzzy control</subject><subject>Nonlinear analysis</subject><subject>Nonlinear control</subject><subject>Robust control</subject><subject>Slip</subject><subject>Stability analysis</subject><subject>Subsystems</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNyk0KwjAQQOEgCBbtHQZcF-LEttmL4lrcF7XTP2KndhKKPb0uPICrt_jeQkVozC6xe8SVikU6rTVmOaapiVR-4XsQDw_u_cgOuIKpIXIgrh0gSNvXMFFbN55KqMI8v-HJJbmNWlY3JxT_ulbb0_F6OCfDyK9A4ouOw9h_qUCdW7Q209b8d30ALTg2EA</recordid><startdate>20160324</startdate><enddate>20160324</enddate><creator>Sharifzadeh, Mojtaba</creator><creator>Akbari, Ahmad</creator><creator>Zamani Behbahani, M Reza</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20160324</creationdate><title>Robust control of wheel slip using weighted fuzzy model</title><author>Sharifzadeh, Mojtaba ; Akbari, Ahmad ; Zamani Behbahani, M Reza</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_20782886083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adaptive control</topic><topic>Braking</topic><topic>Braking systems</topic><topic>Chassis</topic><topic>Computer simulation</topic><topic>Control stability</topic><topic>Control systems design</topic><topic>Fuzzy control</topic><topic>Nonlinear analysis</topic><topic>Nonlinear control</topic><topic>Robust control</topic><topic>Slip</topic><topic>Stability analysis</topic><topic>Subsystems</topic><toplevel>online_resources</toplevel><creatorcontrib>Sharifzadeh, Mojtaba</creatorcontrib><creatorcontrib>Akbari, Ahmad</creatorcontrib><creatorcontrib>Zamani Behbahani, M Reza</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharifzadeh, Mojtaba</au><au>Akbari, Ahmad</au><au>Zamani Behbahani, M Reza</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Robust control of wheel slip using weighted fuzzy model</atitle><jtitle>arXiv.org</jtitle><date>2016-03-24</date><risdate>2016</risdate><eissn>2331-8422</eissn><abstract>The control of wheel slip dynamics is one of the most critical areas of chassis control, since it is the basis for most critical of the main chassis control subsystems like braking control (ABS), traction control (TCS), and stability control (VSC-ESC). In this paper,a nonlinear adaptive controller is analytically designed for longitudinal wheel slip by using of the new method, based on Lyapunov theory mixed with weighted Fuzzy model. The effectiveness of the method is demonstrated by the experimental results and real-time model simulations with different longitudinal speeds and different kinds of road surface conditions.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
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subjects | Adaptive control Braking Braking systems Chassis Computer simulation Control stability Control systems design Fuzzy control Nonlinear analysis Nonlinear control Robust control Slip Stability analysis Subsystems |
title | Robust control of wheel slip using weighted fuzzy model |
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