Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms

The robust and accurate control of a robotic arm or manipulator are of prime importance especially if the system is subjected to varying forms of loading and operating conditions. The paper highlights a novel and robust method to control a robotic arm using an iterative learning technique embedded i...

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Main Authors: Mailah, Musa, Ong, Miaw Yong
Format: Article
Language:English
Published: Penerbit UTM Press 2001
Subjects:
Online Access:http://eprints.utm.my/1252/1/JT35A8.pdf
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author Mailah, Musa
Ong, Miaw Yong
author_facet Mailah, Musa
Ong, Miaw Yong
author_sort Mailah, Musa
collection ePrints
description The robust and accurate control of a robotic arm or manipulator are of prime importance especially if the system is subjected to varying forms of loading and operating conditions. The paper highlights a novel and robust method to control a robotic arm using an iterative learning technique embedded in an active force control strategy. Two main iterative learning algorithms are utilized in the study – the first is used to automatically tune the controller gains while the second to estimate the inertia matrix of the manipulator. These parameters are adaptively computed on-line while the robot is executing a trajectory tracking task and subject to some forms of external disturbances. No priori knowledge of both the controller gains and the estimated inertia matrix are ever assumed in the study. In this way, an adaptive and robust control scheme is derived. The effectiveness of the method is verified and can be seen from the results of the work presented in this paper.
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spelling utm.eprints-12522017-11-01T04:17:47Z http://eprints.utm.my/1252/ Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms Mailah, Musa Ong, Miaw Yong TJ Mechanical engineering and machinery The robust and accurate control of a robotic arm or manipulator are of prime importance especially if the system is subjected to varying forms of loading and operating conditions. The paper highlights a novel and robust method to control a robotic arm using an iterative learning technique embedded in an active force control strategy. Two main iterative learning algorithms are utilized in the study – the first is used to automatically tune the controller gains while the second to estimate the inertia matrix of the manipulator. These parameters are adaptively computed on-line while the robot is executing a trajectory tracking task and subject to some forms of external disturbances. No priori knowledge of both the controller gains and the estimated inertia matrix are ever assumed in the study. In this way, an adaptive and robust control scheme is derived. The effectiveness of the method is verified and can be seen from the results of the work presented in this paper. Penerbit UTM Press 2001-12 Article PeerReviewed application/pdf en http://eprints.utm.my/1252/1/JT35A8.pdf Mailah, Musa and Ong, Miaw Yong (2001) Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms. Jurnal Teknologi A (35A). pp. 85-98. ISSN 0127-9696 http://www.penerbit.utm.my/onlinejournal/35/A/JT35A8.pdf
spellingShingle TJ Mechanical engineering and machinery
Mailah, Musa
Ong, Miaw Yong
Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms
title Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms
title_full Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms
title_fullStr Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms
title_full_unstemmed Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms
title_short Intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms
title_sort intelligent adaptive active force control of a robotic arm with embedded iterative learning algorithms
topic TJ Mechanical engineering and machinery
url http://eprints.utm.my/1252/1/JT35A8.pdf
work_keys_str_mv AT mailahmusa intelligentadaptiveactiveforcecontrolofaroboticarmwithembeddediterativelearningalgorithms
AT ongmiawyong intelligentadaptiveactiveforcecontrolofaroboticarmwithembeddediterativelearningalgorithms