Fuzzy model based environmental stiffness identification in stable force control of a robot manipulator

Chang Woo Park, Jongbae Lee, Minkee Park, Mignon Park

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

1 Scopus citations

Abstract

In this paper, we propose a new force control method in contact tasks using a fuzzy model. The contact force that is exerted on the environment by the link is some general function of the displacement, and not necessarily linear. First, a new identification method of a fuzzy model is proposed and then a nonlinear function of contact force is modeled by a proposed identification algorithm of a fuzzy model. The system stability for the proposed force control method is proved theoretically using a Lyapunov direct method. Finally it is shown that the proposed method is useful for the force control of manipulator by simulation.

Original languageEnglish
Title of host publicationModeling Decisions for Artificial Intelligence - Second International Conference, MDAI 2005, Proceedings
PublisherSpringer Verlag
Pages240-251
Number of pages12
ISBN (Print)3540278710, 9783540278719
DOIs
StatePublished - 2005
Event2nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2005 - Tsukuba, Japan
Duration: 25 Jul 200527 Jul 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3558 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2005
Country/TerritoryJapan
CityTsukuba
Period25/07/0527/07/05

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