A New Fuzzy Iterative Learning Control Algorithm for Single Joint Manipulator

This paper present a new fuzzy iterative learning control design to solve the trajectory tracking problem and performing repetitive tasks for rigid robot manipulators. Several times’ iterations are needed to make the system tracking error converge, especially in the first iteration without experienc...

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Main Authors: Wang Meng, Bian Guangrong, Li Hongsheng
Format: Article
Language:English
Published: Polish Academy of Sciences 2016-09-01
Series:Archives of Control Sciences
Subjects:
Online Access:http://www.degruyter.com/view/j/acsc.2016.26.issue-3/acsc-2016-0017/acsc-2016-0017.xml?format=INT
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author Wang Meng
Bian Guangrong
Li Hongsheng
author_facet Wang Meng
Bian Guangrong
Li Hongsheng
author_sort Wang Meng
collection DOAJ
description This paper present a new fuzzy iterative learning control design to solve the trajectory tracking problem and performing repetitive tasks for rigid robot manipulators. Several times’ iterations are needed to make the system tracking error converge, especially in the first iteration without experience. In order to solve that problem, fuzzy control and iterative learning control are combined, where fuzzy control is used to tracking trajectory at the first learning period, and the output of fuzzy control is recorded as the initial control inputs of ILC. The new algorithm also adopts gain self-tuning by fuzzy control, in order to improve the convergence rate. Simulations illustrate the effectiveness and convergence of the new algorithm and advantages compared to traditional method.
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spelling doaj.art-d96d7ae6d1134ebda50bbf02e813e4212022-12-21T17:48:44ZengPolish Academy of SciencesArchives of Control Sciences2300-26112016-09-0126329731010.1515/acsc-2016-0017acsc-2016-0017A New Fuzzy Iterative Learning Control Algorithm for Single Joint ManipulatorWang Meng0Bian Guangrong1Li Hongsheng2School of Automation, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei, P.R. China Postcode: 430070School of Automation, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei, P.R. China Postcode: 430070School of Automation, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei, P.R. China Postcode: 430070This paper present a new fuzzy iterative learning control design to solve the trajectory tracking problem and performing repetitive tasks for rigid robot manipulators. Several times’ iterations are needed to make the system tracking error converge, especially in the first iteration without experience. In order to solve that problem, fuzzy control and iterative learning control are combined, where fuzzy control is used to tracking trajectory at the first learning period, and the output of fuzzy control is recorded as the initial control inputs of ILC. The new algorithm also adopts gain self-tuning by fuzzy control, in order to improve the convergence rate. Simulations illustrate the effectiveness and convergence of the new algorithm and advantages compared to traditional method.http://www.degruyter.com/view/j/acsc.2016.26.issue-3/acsc-2016-0017/acsc-2016-0017.xml?format=INTiterative learning controlfuzzy controlfuzzy gain adjustmentsingle joint manipulator
spellingShingle Wang Meng
Bian Guangrong
Li Hongsheng
A New Fuzzy Iterative Learning Control Algorithm for Single Joint Manipulator
Archives of Control Sciences
iterative learning control
fuzzy control
fuzzy gain adjustment
single joint manipulator
title A New Fuzzy Iterative Learning Control Algorithm for Single Joint Manipulator
title_full A New Fuzzy Iterative Learning Control Algorithm for Single Joint Manipulator
title_fullStr A New Fuzzy Iterative Learning Control Algorithm for Single Joint Manipulator
title_full_unstemmed A New Fuzzy Iterative Learning Control Algorithm for Single Joint Manipulator
title_short A New Fuzzy Iterative Learning Control Algorithm for Single Joint Manipulator
title_sort new fuzzy iterative learning control algorithm for single joint manipulator
topic iterative learning control
fuzzy control
fuzzy gain adjustment
single joint manipulator
url http://www.degruyter.com/view/j/acsc.2016.26.issue-3/acsc-2016-0017/acsc-2016-0017.xml?format=INT
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AT wangmeng newfuzzyiterativelearningcontrolalgorithmforsinglejointmanipulator
AT bianguangrong newfuzzyiterativelearningcontrolalgorithmforsinglejointmanipulator
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