A fuzzy logic based magnetic ball bearing system

Fuzzy Logic Control are useful when the processes are too complex for analysis by conventional quantitative techniques or when the available sources of information are interpreted qualitatively, inexactly, or uncertainly (Lee, 1990). It does not require any system modeling or complex mathematica...

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Main Authors: Abdullah, Shahrum Shah, Othman, Mohd. Fauzi, Yong, Lee Choo, Kashif , Kashif, Mohd. Idris, Marzuki
Format: Book Section
Published: Penerbit UTM 2008
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Online Access:http://eprints.utm.my/id/eprint/14301/
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spelling my.utm.143012011-08-23T05:33:59Z http://eprints.utm.my/id/eprint/14301/ A fuzzy logic based magnetic ball bearing system Abdullah, Shahrum Shah Othman, Mohd. Fauzi Yong, Lee Choo Kashif , Kashif Mohd. Idris, Marzuki TK Electrical engineering. Electronics Nuclear engineering Fuzzy Logic Control are useful when the processes are too complex for analysis by conventional quantitative techniques or when the available sources of information are interpreted qualitatively, inexactly, or uncertainly (Lee, 1990). It does not require any system modeling or complex mathematical equations governing the relationship between inputs and outputs (Aptronix, 1999). Fuzzy rules are very easy to learn and use, even by nonexperts. It typically takes only a few rules to describe systems that may require several lines of conventional software code, which reduces the design complexity (Aptronix, 1999). This paper illustrates a simple way of controlling a non-linear, 3rd order and unstable system using Fuzzy logic. The design procedure utilizes MATLAB ® Fuzzy Logic toolbox and was implemented using SIMULINK ® version 7.1. Penerbit UTM 2008 Book Section PeerReviewed Abdullah, Shahrum Shah and Othman, Mohd. Fauzi and Yong, Lee Choo and Kashif , Kashif and Mohd. Idris, Marzuki (2008) A fuzzy logic based magnetic ball bearing system. In: Advances In Fuzzy Logic And Neural Network Applications. Penerbit UTM , Johor, pp. 197-206. ISBN 978-983-52-0682-5
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdullah, Shahrum Shah
Othman, Mohd. Fauzi
Yong, Lee Choo
Kashif , Kashif
Mohd. Idris, Marzuki
A fuzzy logic based magnetic ball bearing system
description Fuzzy Logic Control are useful when the processes are too complex for analysis by conventional quantitative techniques or when the available sources of information are interpreted qualitatively, inexactly, or uncertainly (Lee, 1990). It does not require any system modeling or complex mathematical equations governing the relationship between inputs and outputs (Aptronix, 1999). Fuzzy rules are very easy to learn and use, even by nonexperts. It typically takes only a few rules to describe systems that may require several lines of conventional software code, which reduces the design complexity (Aptronix, 1999). This paper illustrates a simple way of controlling a non-linear, 3rd order and unstable system using Fuzzy logic. The design procedure utilizes MATLAB ® Fuzzy Logic toolbox and was implemented using SIMULINK ® version 7.1.
format Book Section
author Abdullah, Shahrum Shah
Othman, Mohd. Fauzi
Yong, Lee Choo
Kashif , Kashif
Mohd. Idris, Marzuki
author_facet Abdullah, Shahrum Shah
Othman, Mohd. Fauzi
Yong, Lee Choo
Kashif , Kashif
Mohd. Idris, Marzuki
author_sort Abdullah, Shahrum Shah
title A fuzzy logic based magnetic ball bearing system
title_short A fuzzy logic based magnetic ball bearing system
title_full A fuzzy logic based magnetic ball bearing system
title_fullStr A fuzzy logic based magnetic ball bearing system
title_full_unstemmed A fuzzy logic based magnetic ball bearing system
title_sort fuzzy logic based magnetic ball bearing system
publisher Penerbit UTM
publishDate 2008
url http://eprints.utm.my/id/eprint/14301/
_version_ 1643646372508860416
score 13.160551