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Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller

In this article, a nonlinear autoregressive with exogenous input (NARX) network was utilized to model a conveyor belt grain dryer using a set of input–output data collected during an experiment to dry paddy grains. The resulting NARX model has achieved a remarkable modeling accuracy compared to othe...

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Main Authors: Lutfy, Omar F., Selamat, Hazlina, Mohd. Noor, S. B.
Format: Article
Published: Taylor and Francis Inc. 2015
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/55995/
http://dx.doi.org/10.1080/07373937.2015.1021007
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spelling my.utm.559952017-02-15T00:44:41Z http://eprints.utm.my/id/eprint/55995/ Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller Lutfy, Omar F. Selamat, Hazlina Mohd. Noor, S. B. TK Electrical engineering. Electronics Nuclear engineering In this article, a nonlinear autoregressive with exogenous input (NARX) network was utilized to model a conveyor belt grain dryer using a set of input–output data collected during an experiment to dry paddy grains. The resulting NARX model has achieved a remarkable modeling accuracy compared to other previously reported modeling techniques. To control the considered dryer, a simplified type 2 adaptive neuro-fuzzy inference system (ANFIS) controller was proposed. The effectiveness of this controller was demonstrated by several performance tests conducted by computer simulations. Moreover, a comparative study with other related controllers further confirmed the superiority of the proposed dryer controller Taylor and Francis Inc. 2015-07 Article PeerReviewed Lutfy, Omar F. and Selamat, Hazlina and Mohd. Noor, S. B. (2015) Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller. Drying Technology, 33 (10). pp. 1210-1222. ISSN 0737-3937 http://dx.doi.org/10.1080/07373937.2015.1021007 DOI:10.1080/07373937.2015.1021007
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
Lutfy, Omar F.
Selamat, Hazlina
Mohd. Noor, S. B.
Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller
description In this article, a nonlinear autoregressive with exogenous input (NARX) network was utilized to model a conveyor belt grain dryer using a set of input–output data collected during an experiment to dry paddy grains. The resulting NARX model has achieved a remarkable modeling accuracy compared to other previously reported modeling techniques. To control the considered dryer, a simplified type 2 adaptive neuro-fuzzy inference system (ANFIS) controller was proposed. The effectiveness of this controller was demonstrated by several performance tests conducted by computer simulations. Moreover, a comparative study with other related controllers further confirmed the superiority of the proposed dryer controller
format Article
author Lutfy, Omar F.
Selamat, Hazlina
Mohd. Noor, S. B.
author_facet Lutfy, Omar F.
Selamat, Hazlina
Mohd. Noor, S. B.
author_sort Lutfy, Omar F.
title Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller
title_short Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller
title_full Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller
title_fullStr Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller
title_full_unstemmed Intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller
title_sort intelligent modeling and control of a conveyor belt grain dryer using a simplified type 2 neuro-fuzzy controller
publisher Taylor and Francis Inc.
publishDate 2015
url http://eprints.utm.my/id/eprint/55995/
http://dx.doi.org/10.1080/07373937.2015.1021007
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score 13.211869

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