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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Format: | Article |
Language: | English |
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Penerbit UTM Press
2001
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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. |
first_indexed | 2024-03-05T17:56:10Z |
format | Article |
id | utm.eprints-1252 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T17:56:10Z |
publishDate | 2001 |
publisher | Penerbit UTM Press |
record_format | dspace |
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 |