A robust model-based fuzzy-logic controller for robot manipulators

This paper presents a fuzzy-logic control structure, containing the fuzzy-logic model of the dynamic system and fuzzy control rules that ensure the stability and robust performance. The robust fuzzy rules are designed based on a generalized formulation of sliding mode control for a class of nonlinea...

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Hauptverfasser: Emami, M.R., Goldenberg, A.A., Turksen, I.B.
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Goldenberg, A.A.
Turksen, I.B.
description This paper presents a fuzzy-logic control structure, containing the fuzzy-logic model of the dynamic system and fuzzy control rules that ensure the stability and robust performance. The robust fuzzy rules are designed based on a generalized formulation of sliding mode control for a class of nonlinear multi-input multi-output systems. The proposed fuzzy-logic control scheme was applied to the trajectory control of a four-degree-of-freedom robot, and compared with the high-gain PID controllers. A superior tracking performance was achieved.
doi_str_mv 10.1109/ROBOT.1998.680717
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identifier ISSN: 1050-4729
ispartof 1998 IEEE International Conference on Robotics and Automation, Leuven, Belgium, 16-20 May 1998, 1998, Vol.3, p.2500-2505 vol.3
issn 1050-4729
2577-087X
language eng
recordid cdi_ieee_primary_680717
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Control systems
Fuzzy control
Fuzzy systems
Manipulators
Nonlinear control systems
Onboard space systems
Robot control
Robotics and automation
Robust control
Robust stability
Rymdtekniska system
Sliding mode control
title A robust model-based fuzzy-logic controller for robot manipulators
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