Single input fuzzy logic controller for magnetic levitation system

Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. However conventional FLC (CFLC) performance is greatly dependent on its inference rules. In most cases, the more rules being applied to a FL...

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Main Authors: Abdullah, Shahrum Shah, Ishaque, K., Saleem, Y., Amjad, M., Rashid, M.
Format: Book Section
Published: IEEE 2011
Subjects:
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author Abdullah, Shahrum Shah
Ishaque, K.
Saleem, Y.
Amjad, M.
Rashid, M.
author_facet Abdullah, Shahrum Shah
Ishaque, K.
Saleem, Y.
Amjad, M.
Rashid, M.
author_sort Abdullah, Shahrum Shah
collection ePrints
description Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. However conventional FLC (CFLC) performance is greatly dependent on its inference rules. In most cases, the more rules being applied to a FLC, the accuracy of the control action is enhanced at the expense of longer computational time. As a result, FLC implementation requires fast and high performance processors. In this paper, it is shown that the inference rule table of a two-input FLCs used to control a magnetic levitation system can be reduced to a Single Input Fuzzy Logic Controller (SIFLC), which can be easily implemented using a lookup table. Simulated results are presented to demonstrate the equivalency of SIFLC and CFLC.
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spelling utm.eprints-300712017-02-04T06:59:54Z http://eprints.utm.my/30071/ Single input fuzzy logic controller for magnetic levitation system Abdullah, Shahrum Shah Ishaque, K. Saleem, Y. Amjad, M. Rashid, M. T Technology (General) Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. However conventional FLC (CFLC) performance is greatly dependent on its inference rules. In most cases, the more rules being applied to a FLC, the accuracy of the control action is enhanced at the expense of longer computational time. As a result, FLC implementation requires fast and high performance processors. In this paper, it is shown that the inference rule table of a two-input FLCs used to control a magnetic levitation system can be reduced to a Single Input Fuzzy Logic Controller (SIFLC), which can be easily implemented using a lookup table. Simulated results are presented to demonstrate the equivalency of SIFLC and CFLC. IEEE 2011 Book Section PeerReviewed Abdullah, Shahrum Shah and Ishaque, K. and Saleem, Y. and Amjad, M. and Rashid, M. (2011) Single input fuzzy logic controller for magnetic levitation system. In: 2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011. IEEE, Kuala Lumpur, pp. 1-6. ISBN 978-145770003-3 http://dx.doi.org/10.1109/ICMSAO.2011.5775630 10.1109/ICMSAO.2011.5775630
spellingShingle T Technology (General)
Abdullah, Shahrum Shah
Ishaque, K.
Saleem, Y.
Amjad, M.
Rashid, M.
Single input fuzzy logic controller for magnetic levitation system
title Single input fuzzy logic controller for magnetic levitation system
title_full Single input fuzzy logic controller for magnetic levitation system
title_fullStr Single input fuzzy logic controller for magnetic levitation system
title_full_unstemmed Single input fuzzy logic controller for magnetic levitation system
title_short Single input fuzzy logic controller for magnetic levitation system
title_sort single input fuzzy logic controller for magnetic levitation system
topic T Technology (General)
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AT ishaquek singleinputfuzzylogiccontrollerformagneticlevitationsystem
AT saleemy singleinputfuzzylogiccontrollerformagneticlevitationsystem
AT amjadm singleinputfuzzylogiccontrollerformagneticlevitationsystem
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