Reference : Model-Free Robust Adaptive Control for Flexible Rubber Objects Manipulation
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/10993/21966
Model-Free Robust Adaptive Control for Flexible Rubber Objects Manipulation
English
Jasim, Ibrahim mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Plapper, Peter mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
8-Sep-2015
20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015), Luxembourg 8-11 September 2015
IEEE
Yes
No
International
20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015)
8-9-2015 to 11-9-2015
IEEE
Luxembourg
Luxembourg
[en] Adaptive fuzzy systems ; Flexible object manipulation ; Robust control ; Sliding mode control ; Switched constrained robots
[en] This article addresses the control problem of robots with unknown dynamics and manipulating flexible rubber objects of unknown elasticity. The manipulated rubber object is considered to be interacting with arbitrarily-switched constraints. Such a kind of robot system is shown to have switched impedance parameters during a task execution that results in an unknown hybrid nonlinear system with arbitrarily switched signal. A Model-Free Robust Adaptive Control (MFRAC) strategy is proposed for such a robot system that is proved to guarantee global stable performance with all closed loop signals are assured to be bounded. The suggested MFRAC strategy relies on the synergy of the Adaptive Fuzzy System (AFS), the Sliding Mode Control (SMC), and the notion of Common Lyapunov Functions (CLF). The AFS relaxes the need for knowing the precise robot dynamics, the SMC adds robustness against the drift of the dynamics parameters, and the CLF accommodates the arbitrary switching of the impedance parameters. The bounds of the impedance parameters are adapted online and incorporated in the MFRAC design such that a convergent performance is achieved. Experiment is conducted on a KUKA Lightweight Robot (LWR) doing flexible rubber peg-in-hole assembly process that falls in the category of systems considered in this article. From the experimental results, excellent tracking performance is reported when using the proposed MFRAC strategy for the considered robotic system despite the dynamics anonymity and the unknown impedance parameters arbitrary switching.
Fonds National de la Recherche - FnR
R-AGR-0071 > PROBE > 01/01/2013 - 31/12/2015 > PLAPPER Peter
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/21966
FnR ; FNR2955286 > Ibrahim Jasim > > Self-adaptive Fuzzy Control for Robotic Peg-in-Hole Assembly Process > 01/05/2012 > 30/04/2016 > 2012

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