Integrated Clutch Torque Control and Touchpoint Estimation Using Deadbeat Adaptive Backstepping
This research investigates the discrete-time adaptive backstepping control to track the reference clutch torque and estimate the clutch touchpoint displacement simultaneously for a transfer case clutch. Note that the clutch touchpoint changes due to the clutch wear, temperature variation, and other...
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| Veröffentlicht in: | IEEE transactions on control systems technology 2022-01, Vol.30 (1), p.368-375 |
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| creator | Wei, Wenpeng Dourra, Hussein Zhu, Guoming |
| description | This research investigates the discrete-time adaptive backstepping control to track the reference clutch torque and estimate the clutch touchpoint displacement simultaneously for a transfer case clutch. Note that the clutch touchpoint changes due to the clutch wear, temperature variation, and other factors. As a result, it needs to be estimated in real time for accurate clutch torque control. Instead of using a separate algorithm to estimate touchpoints, this brief proposes to utilize an integrated scheme for both tracking reference torque and estimating varying touchpoints. More specifically, the deadbeat-based control law is designed based on a systematic non-Lyapunov-function-based backstepping scheme. The stability of the closed-loop system is guaranteed, and all closed-loop states are bounded. In addition, due to the deadbeat design, the tracking and estimation convergence rates are faster than or equal to any other backstepping designs. Furthermore, the closed-loop system performance is robust to external disturbances. Finally, the proposed method is validated through simulation studies using experimental data. |
| doi_str_mv | 10.1109/TCST.2021.3058330 |
| format | Article |
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Note that the clutch touchpoint changes due to the clutch wear, temperature variation, and other factors. As a result, it needs to be estimated in real time for accurate clutch torque control. Instead of using a separate algorithm to estimate touchpoints, this brief proposes to utilize an integrated scheme for both tracking reference torque and estimating varying touchpoints. More specifically, the deadbeat-based control law is designed based on a systematic non-Lyapunov-function-based backstepping scheme. The stability of the closed-loop system is guaranteed, and all closed-loop states are bounded. In addition, due to the deadbeat design, the tracking and estimation convergence rates are faster than or equal to any other backstepping designs. Furthermore, the closed-loop system performance is robust to external disturbances. Finally, the proposed method is validated through simulation studies using experimental data.</description><identifier>ISSN: 1063-6536</identifier><identifier>EISSN: 1558-0865</identifier><identifier>DOI: 10.1109/TCST.2021.3058330</identifier><identifier>CODEN: IETTE2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptation models ; Adaptive control ; Adaptive estimation ; Algorithms ; Backstepping ; backstepping control ; Closed loop systems ; Clutches ; Control theory ; DC motors ; deadbeat design ; Design ; Estimation ; Feedback control ; Lyapunov methods ; reference tracking ; Shafts ; Torque ; touchpoint displacement ; Tracking ; transfer case clutch</subject><ispartof>IEEE transactions on control systems technology, 2022-01, Vol.30 (1), p.368-375</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-7f90743bfb67467cbae7ea18a4978c8c53c6ce4999d183e7397724c4e7e7a3313</citedby><cites>FETCH-LOGICAL-c293t-7f90743bfb67467cbae7ea18a4978c8c53c6ce4999d183e7397724c4e7e7a3313</cites><orcidid>0000-0002-2101-2698 ; 0000-0003-3080-2162 ; 0000-0002-3720-1768</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9361994$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9361994$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wei, Wenpeng</creatorcontrib><creatorcontrib>Dourra, Hussein</creatorcontrib><creatorcontrib>Zhu, Guoming</creatorcontrib><title>Integrated Clutch Torque Control and Touchpoint Estimation Using Deadbeat Adaptive Backstepping</title><title>IEEE transactions on control systems technology</title><addtitle>TCST</addtitle><description>This research investigates the discrete-time adaptive backstepping control to track the reference clutch torque and estimate the clutch touchpoint displacement simultaneously for a transfer case clutch. Note that the clutch touchpoint changes due to the clutch wear, temperature variation, and other factors. As a result, it needs to be estimated in real time for accurate clutch torque control. Instead of using a separate algorithm to estimate touchpoints, this brief proposes to utilize an integrated scheme for both tracking reference torque and estimating varying touchpoints. More specifically, the deadbeat-based control law is designed based on a systematic non-Lyapunov-function-based backstepping scheme. The stability of the closed-loop system is guaranteed, and all closed-loop states are bounded. In addition, due to the deadbeat design, the tracking and estimation convergence rates are faster than or equal to any other backstepping designs. Furthermore, the closed-loop system performance is robust to external disturbances. Finally, the proposed method is validated through simulation studies using experimental data.</description><subject>Adaptation models</subject><subject>Adaptive control</subject><subject>Adaptive estimation</subject><subject>Algorithms</subject><subject>Backstepping</subject><subject>backstepping control</subject><subject>Closed loop systems</subject><subject>Clutches</subject><subject>Control theory</subject><subject>DC motors</subject><subject>deadbeat design</subject><subject>Design</subject><subject>Estimation</subject><subject>Feedback control</subject><subject>Lyapunov methods</subject><subject>reference tracking</subject><subject>Shafts</subject><subject>Torque</subject><subject>touchpoint displacement</subject><subject>Tracking</subject><subject>transfer case clutch</subject><issn>1063-6536</issn><issn>1558-0865</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PwzAMhiMEEmPwAxCXSJw7kiZNmuMoAyZN4kB3jtLU3TpGU5IMiX9PpiEutmU__noRuqVkRilRD3X1Xs9yktMZI0XJGDlDE1oUZUZKUZynmAiWiYKJS3QVwo4QyotcTpBeDhE23kRocbU_RLvFtfNfB8CVG6J3e2yGNqUOdju6foh4EWL_aWLvBrwO_bDBT2DaBkzE89aMsf8G_GjsR4gwjql8jS46sw9w8-enaP28qKvXbPX2sqzmq8zmisVMdopIzpquEZILaRsDEgwtDVeytKUtmBUWuFKqpSUDyZSUObc8UdIwRtkU3Z_mjt6l60PUO3fwQ1qpc0EJLZPliaInynoXgodOjz594380Jfqooz7qqI866j8dU8_dqacHgH9eMUGV4uwX3VxvFQ</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Wei, Wenpeng</creator><creator>Dourra, Hussein</creator><creator>Zhu, Guoming</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-2101-2698</orcidid><orcidid>https://orcid.org/0000-0003-3080-2162</orcidid><orcidid>https://orcid.org/0000-0002-3720-1768</orcidid></search><sort><creationdate>202201</creationdate><title>Integrated Clutch Torque Control and Touchpoint Estimation Using Deadbeat Adaptive Backstepping</title><author>Wei, Wenpeng ; Dourra, Hussein ; Zhu, Guoming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-7f90743bfb67467cbae7ea18a4978c8c53c6ce4999d183e7397724c4e7e7a3313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adaptation models</topic><topic>Adaptive control</topic><topic>Adaptive estimation</topic><topic>Algorithms</topic><topic>Backstepping</topic><topic>backstepping control</topic><topic>Closed loop systems</topic><topic>Clutches</topic><topic>Control theory</topic><topic>DC motors</topic><topic>deadbeat design</topic><topic>Design</topic><topic>Estimation</topic><topic>Feedback control</topic><topic>Lyapunov methods</topic><topic>reference tracking</topic><topic>Shafts</topic><topic>Torque</topic><topic>touchpoint displacement</topic><topic>Tracking</topic><topic>transfer case clutch</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wei, Wenpeng</creatorcontrib><creatorcontrib>Dourra, Hussein</creatorcontrib><creatorcontrib>Zhu, Guoming</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on control systems technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wei, Wenpeng</au><au>Dourra, Hussein</au><au>Zhu, Guoming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated Clutch Torque Control and Touchpoint Estimation Using Deadbeat Adaptive Backstepping</atitle><jtitle>IEEE transactions on control systems technology</jtitle><stitle>TCST</stitle><date>2022-01</date><risdate>2022</risdate><volume>30</volume><issue>1</issue><spage>368</spage><epage>375</epage><pages>368-375</pages><issn>1063-6536</issn><eissn>1558-0865</eissn><coden>IETTE2</coden><abstract>This research investigates the discrete-time adaptive backstepping control to track the reference clutch torque and estimate the clutch touchpoint displacement simultaneously for a transfer case clutch. Note that the clutch touchpoint changes due to the clutch wear, temperature variation, and other factors. As a result, it needs to be estimated in real time for accurate clutch torque control. Instead of using a separate algorithm to estimate touchpoints, this brief proposes to utilize an integrated scheme for both tracking reference torque and estimating varying touchpoints. More specifically, the deadbeat-based control law is designed based on a systematic non-Lyapunov-function-based backstepping scheme. The stability of the closed-loop system is guaranteed, and all closed-loop states are bounded. In addition, due to the deadbeat design, the tracking and estimation convergence rates are faster than or equal to any other backstepping designs. Furthermore, the closed-loop system performance is robust to external disturbances. Finally, the proposed method is validated through simulation studies using experimental data.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCST.2021.3058330</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-2101-2698</orcidid><orcidid>https://orcid.org/0000-0003-3080-2162</orcidid><orcidid>https://orcid.org/0000-0002-3720-1768</orcidid></addata></record> |
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| identifier | ISSN: 1063-6536 |
| ispartof | IEEE transactions on control systems technology, 2022-01, Vol.30 (1), p.368-375 |
| issn | 1063-6536 1558-0865 |
| language | eng |
| recordid | cdi_ieee_primary_9361994 |
| source | IEEE Electronic Library (IEL) |
| subjects | Adaptation models Adaptive control Adaptive estimation Algorithms Backstepping backstepping control Closed loop systems Clutches Control theory DC motors deadbeat design Design Estimation Feedback control Lyapunov methods reference tracking Shafts Torque touchpoint displacement Tracking transfer case clutch |
| title | Integrated Clutch Torque Control and Touchpoint Estimation Using Deadbeat Adaptive Backstepping |
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