An adaptive fuzzy logic controller for robot-manipulator

In this paper, an adaptive fuzzy controller is designed for the robot-manipulator. The synthesized controller ensures that 1) the close-loop system is globally stable and 2) the tracking error converges to zero asymptotically and a cost function is minimized. The fuzzy controller is synthesized from...

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Main Authors: Ho Dac Loc, Tran Thu Ha, Ngo Cao Cuong
Format: Article
Language:English
Published: SAGE Publishing 2004-06-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/5628
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author Ho Dac Loc
Tran Thu Ha
Ngo Cao Cuong
author_facet Ho Dac Loc
Tran Thu Ha
Ngo Cao Cuong
author_sort Ho Dac Loc
collection DOAJ
description In this paper, an adaptive fuzzy controller is designed for the robot-manipulator. The synthesized controller ensures that 1) the close-loop system is globally stable and 2) the tracking error converges to zero asymptotically and a cost function is minimized. The fuzzy controller is synthesized from a collection of IF-THEN rules. The parameters of the membership functions characterizing the linguistic terms change according to some adaptive law for the purpose of controlling a plant to track a reference trajectory. The proposed control scheme is demonstrated in a typical nonlinear plant two link manipulator. The computer simulation of control is done by the language MATLAB. The results of simulation show that the adaptive controller well operates and provides good qualities of the control system. The presented results are analyzed.
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spelling doaj.art-c9d88ab9ed124607834a16d4b1dc089a2022-12-21T19:02:37ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142004-06-01110.5772/562810.5772_5628An adaptive fuzzy logic controller for robot-manipulatorHo Dac Loc0Tran Thu Ha1Ngo Cao Cuong2 Hochiminh City University of technology Hochiminh City University of technical education Hochiminh City University of technologyIn this paper, an adaptive fuzzy controller is designed for the robot-manipulator. The synthesized controller ensures that 1) the close-loop system is globally stable and 2) the tracking error converges to zero asymptotically and a cost function is minimized. The fuzzy controller is synthesized from a collection of IF-THEN rules. The parameters of the membership functions characterizing the linguistic terms change according to some adaptive law for the purpose of controlling a plant to track a reference trajectory. The proposed control scheme is demonstrated in a typical nonlinear plant two link manipulator. The computer simulation of control is done by the language MATLAB. The results of simulation show that the adaptive controller well operates and provides good qualities of the control system. The presented results are analyzed.https://doi.org/10.5772/5628
spellingShingle Ho Dac Loc
Tran Thu Ha
Ngo Cao Cuong
An adaptive fuzzy logic controller for robot-manipulator
International Journal of Advanced Robotic Systems
title An adaptive fuzzy logic controller for robot-manipulator
title_full An adaptive fuzzy logic controller for robot-manipulator
title_fullStr An adaptive fuzzy logic controller for robot-manipulator
title_full_unstemmed An adaptive fuzzy logic controller for robot-manipulator
title_short An adaptive fuzzy logic controller for robot-manipulator
title_sort adaptive fuzzy logic controller for robot manipulator
url https://doi.org/10.5772/5628
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