Intelligent active force control of a three-link manipulator using fuzzy logic

The paper presents a novel approach to estimate the inertia matrix of a robot arm using a fuzzy logic (FL) mechanism in order to trigger the active force control (AFC) strategy. A comprehensive study is performed on a rigid three-link manipulator subjected to a number of external disturbances. The r...

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Main Authors: Mailah, Musa, Low, Hook Jong
Format: Article
Language:English
Published: Faculty of Mechanical Engineering 2003
Subjects:
Online Access:http://eprints.utm.my/7921/
http://eprints.utm.my/7921/1/MusaMailah2003_IntelligentActiveForceControlof.pdf
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author Mailah, Musa
Low, Hook Jong
author_facet Mailah, Musa
Low, Hook Jong
author_sort Mailah, Musa
building UTeM Institutional Repository
collection Online Access
description The paper presents a novel approach to estimate the inertia matrix of a robot arm using a fuzzy logic (FL) mechanism in order to trigger the active force control (AFC) strategy. A comprehensive study is performed on a rigid three-link manipulator subjected to a number of external disturbances. The robustness and effectiveness of the proposed control scheme are investigated considering the trajectory track performance of the robotic arm taking into account the application of external disturbances and that the arm is commanded to describe a reference trajectory given a number of initial and operating conditions. The results show that the FL mechanism used in the study successfully computes appropriate estimated inertia matrix value to execute the control action. The proposed scheme exhibits a high degree of robustness and accuracy as the track error is bounded within an acceptable range of value even under the influence of the introduced disturbances.
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spelling utm-79212010-06-02T01:49:41Z http://eprints.utm.my/7921/ Intelligent active force control of a three-link manipulator using fuzzy logic Mailah, Musa Low, Hook Jong TJ Mechanical engineering and machinery The paper presents a novel approach to estimate the inertia matrix of a robot arm using a fuzzy logic (FL) mechanism in order to trigger the active force control (AFC) strategy. A comprehensive study is performed on a rigid three-link manipulator subjected to a number of external disturbances. The robustness and effectiveness of the proposed control scheme are investigated considering the trajectory track performance of the robotic arm taking into account the application of external disturbances and that the arm is commanded to describe a reference trajectory given a number of initial and operating conditions. The results show that the FL mechanism used in the study successfully computes appropriate estimated inertia matrix value to execute the control action. The proposed scheme exhibits a high degree of robustness and accuracy as the track error is bounded within an acceptable range of value even under the influence of the introduced disturbances. Faculty of Mechanical Engineering 2003-12 Article PeerReviewed application/pdf en http://eprints.utm.my/7921/1/MusaMailah2003_IntelligentActiveForceControlof.pdf Mailah, Musa and Low, Hook Jong (2003) Intelligent active force control of a three-link manipulator using fuzzy logic. Jurnal Mekanikal (16). pp. 57-78. ISSN 0127-3396 https://www.fkm.utm.my/~mekanika/
spellingShingle TJ Mechanical engineering and machinery
Mailah, Musa
Low, Hook Jong
Intelligent active force control of a three-link manipulator using fuzzy logic
title Intelligent active force control of a three-link manipulator using fuzzy logic
title_full Intelligent active force control of a three-link manipulator using fuzzy logic
title_fullStr Intelligent active force control of a three-link manipulator using fuzzy logic
title_full_unstemmed Intelligent active force control of a three-link manipulator using fuzzy logic
title_short Intelligent active force control of a three-link manipulator using fuzzy logic
title_sort intelligent active force control of a three-link manipulator using fuzzy logic
topic TJ Mechanical engineering and machinery
url http://eprints.utm.my/7921/
http://eprints.utm.my/7921/
http://eprints.utm.my/7921/1/MusaMailah2003_IntelligentActiveForceControlof.pdf