Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base.

In this study, a mathematical tunable gain model free PID-like sliding mode fuzzy controller (GTSMFC) is designed to rich the best performance. Sliding mode fuzzy controller is studied because of its model free, stable and high performance. Today, most of systems (e.g., robot manipulators) are used...

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Main Authors: Sulaiman, Nasri, Piltan, Farzin
Format: Article
Language:English
Published: 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23294/
http://www.cscjournals.org/library/manuscriptinfo.php?mc=IJRA-43
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spelling my.upm.eprints.232942014-10-07T04:40:21Z http://psasir.upm.edu.my/id/eprint/23294/ Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base. Sulaiman, Nasri Piltan, Farzin In this study, a mathematical tunable gain model free PID-like sliding mode fuzzy controller (GTSMFC) is designed to rich the best performance. Sliding mode fuzzy controller is studied because of its model free, stable and high performance. Today, most of systems (e.g., robot manipulators) are used in unknown and unstructured environment and caused to provide sophisticated systems, therefore strong mathematical tools (e.g., nonlinear sliding mode controller) are used in artificial intelligent control methodologies to design model free nonlinear robust controller with high performance (e.g., minimum error, good trajectory, disturbance rejection). Non linear classical theories have been applied successfully in many applications, but they also have some limitation. One of the best nonlinear robust controller which can be used in uncertainty nonlinear systems, are sliding mode controller but pure sliding mode controller has some disadvantages therefore this research focuses on applied sliding mode controller in fuzzy logic theory to solve the limitation in fuzzy logic controller and sliding mode controller. One of the most important challenging in pure sliding mode controller and sliding mode fuzzy controller is sliding surface slope. This paper focuses on adjusting the gain updating factor and sliding surface slope in PID like sliding mode fuzzy controller to have the best performance and reduce the limitation. 2011 Article PeerReviewed Sulaiman, Nasri and Piltan, Farzin (2011) Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base. International Journal of Robotics and Automation, 2 (3). pp. 146-156. ISSN 0826-8185 http://www.cscjournals.org/library/manuscriptinfo.php?mc=IJRA-43 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, a mathematical tunable gain model free PID-like sliding mode fuzzy controller (GTSMFC) is designed to rich the best performance. Sliding mode fuzzy controller is studied because of its model free, stable and high performance. Today, most of systems (e.g., robot manipulators) are used in unknown and unstructured environment and caused to provide sophisticated systems, therefore strong mathematical tools (e.g., nonlinear sliding mode controller) are used in artificial intelligent control methodologies to design model free nonlinear robust controller with high performance (e.g., minimum error, good trajectory, disturbance rejection). Non linear classical theories have been applied successfully in many applications, but they also have some limitation. One of the best nonlinear robust controller which can be used in uncertainty nonlinear systems, are sliding mode controller but pure sliding mode controller has some disadvantages therefore this research focuses on applied sliding mode controller in fuzzy logic theory to solve the limitation in fuzzy logic controller and sliding mode controller. One of the most important challenging in pure sliding mode controller and sliding mode fuzzy controller is sliding surface slope. This paper focuses on adjusting the gain updating factor and sliding surface slope in PID like sliding mode fuzzy controller to have the best performance and reduce the limitation.
format Article
author Sulaiman, Nasri
Piltan, Farzin
spellingShingle Sulaiman, Nasri
Piltan, Farzin
Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base.
author_facet Sulaiman, Nasri
Piltan, Farzin
author_sort Sulaiman, Nasri
title Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base.
title_short Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base.
title_full Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base.
title_fullStr Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base.
title_full_unstemmed Design Mathematical Tunable Gain PID-Like Sliding Mode Fuzzy Controller with Minimum Rule base.
title_sort design mathematical tunable gain pid-like sliding mode fuzzy controller with minimum rule base.
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/23294/
http://www.cscjournals.org/library/manuscriptinfo.php?mc=IJRA-43
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score 13.159267