Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator.

In this study, an on-line tunable gain model free PID-like fuzzy controller (GTFLC) is designed forthree degrees of freedom (3DOF) robot manipulator to rich the best performance. Fuzzy logiccontroller is studied because of its model free and high performance. Today, robot manipulatorsare used in un...

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Main Authors: Sulaiman, Nasri, Piltan, Farzin, Zargari, Arash, Keshavarz, Mohammad, Badri, Ali
Format: Article
Language:English
Published: 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23329/
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spelling my.upm.eprints.233292014-10-02T05:04:54Z http://psasir.upm.edu.my/id/eprint/23329/ Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator. Sulaiman, Nasri Piltan, Farzin Zargari, Arash Keshavarz, Mohammad Badri, Ali In this study, an on-line tunable gain model free PID-like fuzzy controller (GTFLC) is designed forthree degrees of freedom (3DOF) robot manipulator to rich the best performance. Fuzzy logiccontroller is studied because of its model free and high performance. Today, robot manipulatorsare used in unknown and unstructured environment and caused to provide sophisticated systems,therefore strong mathematical tools are used in new control methodologies to design adaptivenonlinear robust controller with acceptable performance (e.g., minimum error, good trajectory,disturbance rejection). The strategies of control robot manipulator are classified into two maingroups: classical and non-classical methods, however non linear classical theories have beenapplied successfully in many applications, but they also have some limitation. One of the mostimportant nonlinear non classical robust controller that can used in uncertainty nonlinear systems,are fuzzy logic controller. This paper is focuses on applied mathematical tunable gain method inrobust non classical method to reduce the fuzzy logic controller limitations. Therefore on-linetunable PID like fuzzy logic controller will be presented in this paper. 2011 Article PeerReviewed Sulaiman, Nasri and Piltan, Farzin and Zargari, Arash and Keshavarz, Mohammad and Badri, Ali (2011) Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator. International Journal of Artificial intelligence and Expert System, 2 (4). pp. 183-187. ISSN 2180-124X English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In this study, an on-line tunable gain model free PID-like fuzzy controller (GTFLC) is designed forthree degrees of freedom (3DOF) robot manipulator to rich the best performance. Fuzzy logiccontroller is studied because of its model free and high performance. Today, robot manipulatorsare used in unknown and unstructured environment and caused to provide sophisticated systems,therefore strong mathematical tools are used in new control methodologies to design adaptivenonlinear robust controller with acceptable performance (e.g., minimum error, good trajectory,disturbance rejection). The strategies of control robot manipulator are classified into two maingroups: classical and non-classical methods, however non linear classical theories have beenapplied successfully in many applications, but they also have some limitation. One of the mostimportant nonlinear non classical robust controller that can used in uncertainty nonlinear systems,are fuzzy logic controller. This paper is focuses on applied mathematical tunable gain method inrobust non classical method to reduce the fuzzy logic controller limitations. Therefore on-linetunable PID like fuzzy logic controller will be presented in this paper.
format Article
author Sulaiman, Nasri
Piltan, Farzin
Zargari, Arash
Keshavarz, Mohammad
Badri, Ali
spellingShingle Sulaiman, Nasri
Piltan, Farzin
Zargari, Arash
Keshavarz, Mohammad
Badri, Ali
Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator.
author_facet Sulaiman, Nasri
Piltan, Farzin
Zargari, Arash
Keshavarz, Mohammad
Badri, Ali
author_sort Sulaiman, Nasri
title Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator.
title_short Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator.
title_full Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator.
title_fullStr Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator.
title_full_unstemmed Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator.
title_sort design pid-like fuzzy controller with minimum rule base and mathematical proposed on-line tunable gain: applied to robot manipulator.
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/23329/
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score 13.160551