Protective control for robot manipulator by sliding mode based disturbance reconstruction approach

Sun Yiyong, Zhang Zengjie, Marion Leibold, Rameez Hayat, Dirk Wollherr, Martin Buss

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

4 Scopus citations

Abstract

This paper presents a protective control framework for robot manipulators using sliding mode based state estimation and disturbance reconstruction. Specifically, the nonlinear dynamic state-space model of the robot is transformed into a descriptor form, allowing the design of a sliding mode observer and a sliding mode based trajectory tracking control. Different reaction strategies to protect the robot manipulator are presented according to the strength of the disturbance and whether the environment is completely perceptible. Finally, to show the effectiveness of this novel combination of sliding mode observer and protective controller, an experiment on a two degree-of-freedom manipulator is conducted.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1015-1022
Number of pages8
ISBN (Electronic)9781509059980
DOIs
StatePublished - 21 Aug 2017
Event2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 - Munich, Germany
Duration: 3 Jul 20177 Jul 2017

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Conference

Conference2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
Country/TerritoryGermany
CityMunich
Period3/07/177/07/17

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