Control of a robot arm using iterative learning algorithm with a stopping criterion

The robust performance of a robot control scheme is vital to ensure that the robot accomplishes its tasks desirably in a constraint environment involving disturbances, parametric changes, uncertainties and varied operating conditions. The study introduces the Active Force Control and Iterative Learn...

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Main Authors: Mailah, Musa, Chong, Jonathan Wun Shiung
Format: Article
Language:English
Published: Penerbit UTM Press 2002
Subjects:
Online Access:http://eprints.utm.my/1320/
http://eprints.utm.my/1320/1/JT37A5.pdf
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author Mailah, Musa
Chong, Jonathan Wun Shiung
author_facet Mailah, Musa
Chong, Jonathan Wun Shiung
author_sort Mailah, Musa
building UTeM Institutional Repository
collection Online Access
description The robust performance of a robot control scheme is vital to ensure that the robot accomplishes its tasks desirably in a constraint environment involving disturbances, parametric changes, uncertainties and varied operating conditions. The study introduces the Active Force Control and Iterative Learning Algorithm (AFCAIL) scheme with an improved feature in the form of a suitably designed stopping criterion incorporated in the control strategy. The scheme is applied to the control of a horiziontally operated robotic two-link planar manipulator. The proposed stopping criterion is specifically designed to halt the iterative learning process when the conditions related to the accuracy of the performed tasks and the acquisition of appropriate estimated inertia matrix of the robot arm are favourably met. In this way, the robot is said to perform desirably and excellently. The effectiveness of the scheme is also investigated by considering a number different loading and operating conditions.
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spelling utm-13202017-11-01T04:17:43Z http://eprints.utm.my/1320/ Control of a robot arm using iterative learning algorithm with a stopping criterion Mailah, Musa Chong, Jonathan Wun Shiung TJ Mechanical engineering and machinery The robust performance of a robot control scheme is vital to ensure that the robot accomplishes its tasks desirably in a constraint environment involving disturbances, parametric changes, uncertainties and varied operating conditions. The study introduces the Active Force Control and Iterative Learning Algorithm (AFCAIL) scheme with an improved feature in the form of a suitably designed stopping criterion incorporated in the control strategy. The scheme is applied to the control of a horiziontally operated robotic two-link planar manipulator. The proposed stopping criterion is specifically designed to halt the iterative learning process when the conditions related to the accuracy of the performed tasks and the acquisition of appropriate estimated inertia matrix of the robot arm are favourably met. In this way, the robot is said to perform desirably and excellently. The effectiveness of the scheme is also investigated by considering a number different loading and operating conditions. Penerbit UTM Press 2002-12 Article PeerReviewed application/pdf en http://eprints.utm.my/1320/1/JT37A5.pdf Mailah, Musa and Chong, Jonathan Wun Shiung (2002) Control of a robot arm using iterative learning algorithm with a stopping criterion. Jurnal Teknologi A (37A). pp. 55-72. ISSN 0127-9696 http://www.penerbit.utm.my/onlinejournal/37/A/JT37A5.pdf
spellingShingle TJ Mechanical engineering and machinery
Mailah, Musa
Chong, Jonathan Wun Shiung
Control of a robot arm using iterative learning algorithm with a stopping criterion
title Control of a robot arm using iterative learning algorithm with a stopping criterion
title_full Control of a robot arm using iterative learning algorithm with a stopping criterion
title_fullStr Control of a robot arm using iterative learning algorithm with a stopping criterion
title_full_unstemmed Control of a robot arm using iterative learning algorithm with a stopping criterion
title_short Control of a robot arm using iterative learning algorithm with a stopping criterion
title_sort control of a robot arm using iterative learning algorithm with a stopping criterion
topic TJ Mechanical engineering and machinery
url http://eprints.utm.my/1320/
http://eprints.utm.my/1320/
http://eprints.utm.my/1320/1/JT37A5.pdf