Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11233
Title: Self-adjusting fuzzy logic based control of robot manipulators in task space
Authors: Yılmaz, Bayram Melih
Tatlıcıoğlu, Enver
Savran, Aydoğan
Alcı, Musa
Keywords: Adaptive fuzzy logic
Fuzzy approximation
Lyapunov methods
Robot manipulators
Task space control
Universal fuzzy controller
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: End effector tracking control of robot manipulators subject to dynamical uncertainties is the main objective of this work. Direct task space control that aims minimizing the end effector tracking error directly is preferred. In the open loop error system, the vector that depends on uncertain dynamical terms is modeled via a fuzzy logic network and a self-adjusting adaptive fuzzy logic component is designed as part of the nonlinear proportional derivative based control input torque. The stability of the closed loop system is investigated via Lyapunov based arguments and practical tracking is proven. The viability of the proposed control strategy is shown with experimental results. Extensions to uncertain Jacobian case and kinematically redundant robots are also presented. IEEE
URI: http://doi.org/10.1109/TIE.2021.3063970
https://hdl.handle.net/11147/11233
ISSN: 0278-0046
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

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