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Minimum-time sliding mode control for second-order systems
Örebro University, Department of Technology.
Örebro University, Department of Technology.
2004 (English)In: Proceedings of the 2004 American control conference, 2004: vol 1, 2004, p. 626-631Conference paper, Published paper (Refereed)
Abstract [en]

Our approach for near time-optimal control is based on Takagi-Sugeno fuzzy model of the maximum slope SMC sliding surface as an adaptive technique for tuning the current slope of the sliding surface to the maximum feasible slope depending on the current state of system. The stability conditions of this method are proved and respective measures about the feasible maximum slope are presented. Experimental results demonstrate the system behaviour.

Place, publisher, year, edition, pages
2004. p. 626-631
Keyword [en]
fuzzy control, stability, time optimal control, variable structure systems, minimum-time sliding mode control, Takagi-Sugeno fuzzy model
National Category
Control Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:oru:diva-4275ISBN: 0-7803-8335-4 (print)OAI: oai:DiVA.org:oru-4275DiVA, id: diva2:138574
Conference
The 2004 American Control Conference, ACC, June 30-July 2, 2004, Boston Sheraton Hotel, Boston, Massachusetts
Available from: 2007-12-14 Created: 2007-12-14 Last updated: 2017-10-18Bibliographically approved

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Iliev, BoykoKalaykov, Ivan

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CiteExportLink to record
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  • apa
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Output format
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