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Optimization of PID controllers for a fluid mixing system using metamodeling approach

Offline optimization of controller parameters for complex non-linear processes can be time consuming, even with high performance computers. This project demonstrates how Metamodeling techniques can be utilized to tune the controller parameters for a non-linear process quickly. The process used in th...

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Main Authors: Abdullah, S. S., Mohamed Ali, M. S., Mohamad Hasyim, A. W. I.
Format: Book Section
Published: Institute of Electrical and Electronics Engineers 2008
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/12703/
http://dx.doi.org/10.1109/ICIEA.2008.4582724
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spelling my.utm.127032011-06-23T13:31:06Z http://eprints.utm.my/id/eprint/12703/ Optimization of PID controllers for a fluid mixing system using metamodeling approach Abdullah, S. S. Mohamed Ali, M. S. Mohamad Hasyim, A. W. I. TK Electrical engineering. Electronics Nuclear engineering Offline optimization of controller parameters for complex non-linear processes can be time consuming, even with high performance computers. This project demonstrates how Metamodeling techniques can be utilized to tune the controller parameters for a non-linear process quickly. The process used in this study is the mixing process which is a multivariable and intrinsically non-linear plant. The Radial Basis Function Neural Network metamodel used was able to give a good approximation to the optimum controller parameters in this case. Institute of Electrical and Electronics Engineers 2008 Book Section PeerReviewed Abdullah, S. S. and Mohamed Ali, M. S. and Mohamad Hasyim, A. W. I. (2008) Optimization of PID controllers for a fluid mixing system using metamodeling approach. In: 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008. Institute of Electrical and Electronics Engineers, New York, 1282 -1286. ISBN 978-142441718-6 http://dx.doi.org/10.1109/ICIEA.2008.4582724 doi:10.1109/ICIEA.2008.4582724
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, S. S.
Mohamed Ali, M. S.
Mohamad Hasyim, A. W. I.
Optimization of PID controllers for a fluid mixing system using metamodeling approach
description Offline optimization of controller parameters for complex non-linear processes can be time consuming, even with high performance computers. This project demonstrates how Metamodeling techniques can be utilized to tune the controller parameters for a non-linear process quickly. The process used in this study is the mixing process which is a multivariable and intrinsically non-linear plant. The Radial Basis Function Neural Network metamodel used was able to give a good approximation to the optimum controller parameters in this case.
format Book Section
author Abdullah, S. S.
Mohamed Ali, M. S.
Mohamad Hasyim, A. W. I.
author_facet Abdullah, S. S.
Mohamed Ali, M. S.
Mohamad Hasyim, A. W. I.
author_sort Abdullah, S. S.
title Optimization of PID controllers for a fluid mixing system using metamodeling approach
title_short Optimization of PID controllers for a fluid mixing system using metamodeling approach
title_full Optimization of PID controllers for a fluid mixing system using metamodeling approach
title_fullStr Optimization of PID controllers for a fluid mixing system using metamodeling approach
title_full_unstemmed Optimization of PID controllers for a fluid mixing system using metamodeling approach
title_sort optimization of pid controllers for a fluid mixing system using metamodeling approach
publisher Institute of Electrical and Electronics Engineers
publishDate 2008
url http://eprints.utm.my/id/eprint/12703/
http://dx.doi.org/10.1109/ICIEA.2008.4582724
_version_ 1643646018030403584
score 13.160551

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