Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/5836
Title: | Nonlinear robust control of tendon–driven robot manipulators | Authors: | Okur, Beytullah Aksoy, Orhan Zergeroglu, Erkan Tatlıcıoglu, Enver |
Keywords: | Nonlinear systems Robot manipulators Robust control Tendons Industrial robots |
Publisher: | Springer Verlag | Source: | Okur, B., Aksoy, O., Zergeroǧlu, E., and Tatlıcıoǧlu E. (2015). Nonlinear robust control of tendon–driven robot manipulators. Journal of Intelligent and Robotic Systems: Theory and Applications, 80(1), 3-14. doi:10.1007/s10846-014-0141-7 | Abstract: | This work addresses the position tracking control problem for tendon–driven robotic mechanisms in the presence of parametric uncertainty and additive external disturbances. Specifically, a full state feedback nonlinear robust controller is proposed to tackle the link position tracking problem for tendon–driven robot manipulators with uncertain dynamical system parameters. A robust backstepping approach has been utilized to achieve uniformly ultimately bounded tracking performance despite the lack of exact knowledge of the dynamical parameters and presence of additive but bounded disturbance terms. Stability of the overall system is proven via Lyapunov based arguments. Simulation studies performed on a two link planar robot manipulator driven by a six tendon mechanism are presented to illustrate the effectiveness and viability of the proposed approach. | URI: | https://doi.org/10.1007/s10846-014-0141-7 http://hdl.handle.net/11147/5836 |
ISSN: | 0921-0296 1573-0409 |
Appears in Collections: | Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
13
checked on Nov 15, 2024
WEB OF SCIENCETM
Citations
7
checked on Nov 9, 2024
Page view(s)
262
checked on Nov 18, 2024
Download(s)
444
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.