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Sliding mode measurement feedback control for antilock braking systems
We describe a nonlinear observer-based design for control of vehicle traction that is important in providing safety and obtaining desired longitudinal vehicle motion. First, a robust sliding mode controller is designed to maintain the wheel slip at any given value. Simulations show that longitudinal...
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Published in: | IEEE transactions on control systems technology 1999-03, Vol.7 (2), p.271-281 |
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description | We describe a nonlinear observer-based design for control of vehicle traction that is important in providing safety and obtaining desired longitudinal vehicle motion. First, a robust sliding mode controller is designed to maintain the wheel slip at any given value. Simulations show that longitudinal traction controller is capable of controlling the vehicle with parameter deviations and disturbances. The direct state feedback is then replaced with nonlinear observers to estimate the vehicle velocity from the output of the system (i.e., wheel velocity). The nonlinear model of the system is shown locally observable. The effects and drawbacks of the extended Kalman filters and sliding observers are shown via simulations. The sliding observer is found promising while the extended Kalman filter is unsatisfactory due to unpredictable changes in the road conditions. |
doi_str_mv | 10.1109/87.748153 |
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First, a robust sliding mode controller is designed to maintain the wheel slip at any given value. Simulations show that longitudinal traction controller is capable of controlling the vehicle with parameter deviations and disturbances. The direct state feedback is then replaced with nonlinear observers to estimate the vehicle velocity from the output of the system (i.e., wheel velocity). The nonlinear model of the system is shown locally observable. The effects and drawbacks of the extended Kalman filters and sliding observers are shown via simulations. The sliding observer is found promising while the extended Kalman filter is unsatisfactory due to unpredictable changes in the road conditions.</description><identifier>ISSN: 1063-6536</identifier><identifier>EISSN: 1558-0865</identifier><identifier>DOI: 10.1109/87.748153</identifier><identifier>CODEN: IETTE2</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Automotive wheels ; Computer science; control theory; systems ; Computer simulation ; Control system synthesis ; Control theory. Systems ; Exact sciences and technology ; Extended Kalman filter ; Feedback control ; Mathematical models ; Motion control ; Nonlinearity ; Observers ; Robust control ; Sliding mode control ; State estimation ; State feedback ; Traction ; Vehicle safety ; Vehicles ; Wheels</subject><ispartof>IEEE transactions on control systems technology, 1999-03, Vol.7 (2), p.271-281</ispartof><rights>1999 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-a4183a9bbcc2721c0f5baccdfdd39de1cbef70f7ed3744914a7dbd5ecbf6ebf23</citedby><cites>FETCH-LOGICAL-c369t-a4183a9bbcc2721c0f5baccdfdd39de1cbef70f7ed3744914a7dbd5ecbf6ebf23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/748153$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,54795</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1725651$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Unsal, C.</creatorcontrib><creatorcontrib>Kachroo, P.</creatorcontrib><title>Sliding mode measurement feedback control for antilock braking systems</title><title>IEEE transactions on control systems technology</title><addtitle>TCST</addtitle><description>We describe a nonlinear observer-based design for control of vehicle traction that is important in providing safety and obtaining desired longitudinal vehicle motion. First, a robust sliding mode controller is designed to maintain the wheel slip at any given value. Simulations show that longitudinal traction controller is capable of controlling the vehicle with parameter deviations and disturbances. The direct state feedback is then replaced with nonlinear observers to estimate the vehicle velocity from the output of the system (i.e., wheel velocity). The nonlinear model of the system is shown locally observable. The effects and drawbacks of the extended Kalman filters and sliding observers are shown via simulations. The sliding observer is found promising while the extended Kalman filter is unsatisfactory due to unpredictable changes in the road conditions.</description><subject>Applied sciences</subject><subject>Automotive wheels</subject><subject>Computer science; control theory; systems</subject><subject>Computer simulation</subject><subject>Control system synthesis</subject><subject>Control theory. Systems</subject><subject>Exact sciences and technology</subject><subject>Extended Kalman filter</subject><subject>Feedback control</subject><subject>Mathematical models</subject><subject>Motion control</subject><subject>Nonlinearity</subject><subject>Observers</subject><subject>Robust control</subject><subject>Sliding mode control</subject><subject>State estimation</subject><subject>State feedback</subject><subject>Traction</subject><subject>Vehicle safety</subject><subject>Vehicles</subject><subject>Wheels</subject><issn>1063-6536</issn><issn>1558-0865</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNqFkLtPwzAQxi0EEuUxsDJlQCCGFDt-xSOqKCBVYgDmyI8zCk3iYqdD_3tctYINpjvd_b7vdB9CFwRPCcHqrpZTyWrC6QGaEM7rEteCH-YeC1oKTsUxOknpE2PCeCUnaP7ata4dPoo-OCh60GkdoYdhLDyAM9ouCxuGMYau8CEWehjbLuShiXq5laVNGqFPZ-jI6y7B-b6eovf5w9vsqVy8PD7P7helpUKNpWakploZY20lK2Kx5_mEdd45qhwQa8BL7CU4KhlThGnpjONgjRdgfEVP0c3OdxXD1xrS2PRtstB1eoCwTo0iSuW3Jcvk9Z9kpTBjpML_g7UgOTiewdsdaGNIKYJvVrHtddw0BDfb8JtaNrvwM3u1N9XJ6s5HPdg2_QpkxQUnGbvcYS0A_Gz3Ht8o0o1C</recordid><startdate>19990301</startdate><enddate>19990301</enddate><creator>Unsal, C.</creator><creator>Kachroo, P.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>H8D</scope><scope>F28</scope></search><sort><creationdate>19990301</creationdate><title>Sliding mode measurement feedback control for antilock braking systems</title><author>Unsal, C. ; Kachroo, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-a4183a9bbcc2721c0f5baccdfdd39de1cbef70f7ed3744914a7dbd5ecbf6ebf23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Applied sciences</topic><topic>Automotive wheels</topic><topic>Computer science; control theory; systems</topic><topic>Computer simulation</topic><topic>Control system synthesis</topic><topic>Control theory. Systems</topic><topic>Exact sciences and technology</topic><topic>Extended Kalman filter</topic><topic>Feedback control</topic><topic>Mathematical models</topic><topic>Motion control</topic><topic>Nonlinearity</topic><topic>Observers</topic><topic>Robust control</topic><topic>Sliding mode control</topic><topic>State estimation</topic><topic>State feedback</topic><topic>Traction</topic><topic>Vehicle safety</topic><topic>Vehicles</topic><topic>Wheels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Unsal, C.</creatorcontrib><creatorcontrib>Kachroo, P.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Aerospace Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on control systems technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Unsal, C.</au><au>Kachroo, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sliding mode measurement feedback control for antilock braking systems</atitle><jtitle>IEEE transactions on control systems technology</jtitle><stitle>TCST</stitle><date>1999-03-01</date><risdate>1999</risdate><volume>7</volume><issue>2</issue><spage>271</spage><epage>281</epage><pages>271-281</pages><issn>1063-6536</issn><eissn>1558-0865</eissn><coden>IETTE2</coden><abstract>We describe a nonlinear observer-based design for control of vehicle traction that is important in providing safety and obtaining desired longitudinal vehicle motion. First, a robust sliding mode controller is designed to maintain the wheel slip at any given value. Simulations show that longitudinal traction controller is capable of controlling the vehicle with parameter deviations and disturbances. The direct state feedback is then replaced with nonlinear observers to estimate the vehicle velocity from the output of the system (i.e., wheel velocity). The nonlinear model of the system is shown locally observable. The effects and drawbacks of the extended Kalman filters and sliding observers are shown via simulations. The sliding observer is found promising while the extended Kalman filter is unsatisfactory due to unpredictable changes in the road conditions.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/87.748153</doi><tpages>11</tpages></addata></record> |
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ispartof | IEEE transactions on control systems technology, 1999-03, Vol.7 (2), p.271-281 |
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language | eng |
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source | IEEE Electronic Library (IEL) Journals |
subjects | Applied sciences Automotive wheels Computer science control theory systems Computer simulation Control system synthesis Control theory. Systems Exact sciences and technology Extended Kalman filter Feedback control Mathematical models Motion control Nonlinearity Observers Robust control Sliding mode control State estimation State feedback Traction Vehicle safety Vehicles Wheels |
title | Sliding mode measurement feedback control for antilock braking systems |
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