Control of uncertain flexible joint manipulator using adaptive Takagi-Sugeno fuzzy model based controller

C. W. Park, C. H. Hyun, M. S. Park, C. H. Lee, J. Kim, M. Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, in order to control a uncertain flexible joint manipulator, Adaptive Fuzzy Control (AFC) scheme via Parallel distributed Compensation(PDC) is developed for the multi-input/multi-output plant model represented by the Takagi-Sugeno(TS) model. The, alternative AFC scheme is proposed to provide asymptotic tracking of a reference signal for the systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the plant state tracks the state of the reference model asymptotically with time for any bounded reference input signal. The suggested design technique is applied to tracking control of a flexible-link robot manipulator.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages985-990
Number of pages6
ISBN (Print)0780365763
DOIs
StatePublished - 2001
Event2001 IEEE International Conference on Robotics and Automation (ICRA) - Seoul, Korea, Republic of
Duration: 21 May 200126 May 2001

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume1
ISSN (Print)1050-4729

Conference

Conference2001 IEEE International Conference on Robotics and Automation (ICRA)
Country/TerritoryKorea, Republic of
CitySeoul
Period21/05/0126/05/01

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