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Controllers optimization 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 paper demonstrates how Metamodelling techniques can be utilized to quickly tune the controller parameters for a non-linear process. The process used in thi...

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Main Authors: Mohamed Ali, Mohamed Sultan, Abdullah, Shahrum Shah, C., Osman David
Format: Article
Language:English
Published: Faculty of Electrical Engineering, UTM 2009
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/11719/2/ShahrumShahAbdullah2009_ControllersOptimizationForAFluid.pdf
http://eprints.utm.my/id/eprint/11719/
http://dx.doi.org/10.2507/IJSIMM08(1)5.117
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spelling my.utm.117192017-10-08T01:30:42Z http://eprints.utm.my/id/eprint/11719/ Controllers optimization for a fluid mixing system using metamodeling approach Mohamed Ali, Mohamed Sultan Abdullah, Shahrum Shah C., Osman David 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 paper demonstrates how Metamodelling techniques can be utilized to quickly tune the controller parameters for a non-linear process. 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 founded a good approximation to the optimum controller parameters in this case. This paper proposes an intuitive methodology to use only a small fraction of the design space to create a Radial Basis Function Neural Network Metamodel that is good enough to optimize the system. Comparisons were made between the controllers optimized using the Metamodelling technique and the original large space design. 14 refs. Faculty of Electrical Engineering, UTM 2009-03 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/11719/2/ShahrumShahAbdullah2009_ControllersOptimizationForAFluid.pdf Mohamed Ali, Mohamed Sultan and Abdullah, Shahrum Shah and C., Osman David (2009) Controllers optimization for a fluid mixing system using metamodeling approach. International Journal of Simulation Modeling, 8 (1). pp. 48-59. ISSN 1726-4529 http://dx.doi.org/10.2507/IJSIMM08(1)5.117 doi:10.2507/IJSIMM08(1)5.117
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/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohamed Ali, Mohamed Sultan
Abdullah, Shahrum Shah
C., Osman David
Controllers optimization 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 paper demonstrates how Metamodelling techniques can be utilized to quickly tune the controller parameters for a non-linear process. 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 founded a good approximation to the optimum controller parameters in this case. This paper proposes an intuitive methodology to use only a small fraction of the design space to create a Radial Basis Function Neural Network Metamodel that is good enough to optimize the system. Comparisons were made between the controllers optimized using the Metamodelling technique and the original large space design. 14 refs.
format Article
author Mohamed Ali, Mohamed Sultan
Abdullah, Shahrum Shah
C., Osman David
author_facet Mohamed Ali, Mohamed Sultan
Abdullah, Shahrum Shah
C., Osman David
author_sort Mohamed Ali, Mohamed Sultan
title Controllers optimization for a fluid mixing system using metamodeling approach
title_short Controllers optimization for a fluid mixing system using metamodeling approach
title_full Controllers optimization for a fluid mixing system using metamodeling approach
title_fullStr Controllers optimization for a fluid mixing system using metamodeling approach
title_full_unstemmed Controllers optimization for a fluid mixing system using metamodeling approach
title_sort controllers optimization for a fluid mixing system using metamodeling approach
publisher Faculty of Electrical Engineering, UTM
publishDate 2009
url http://eprints.utm.my/id/eprint/11719/2/ShahrumShahAbdullah2009_ControllersOptimizationForAFluid.pdf
http://eprints.utm.my/id/eprint/11719/
http://dx.doi.org/10.2507/IJSIMM08(1)5.117
_version_ 1643645757204463616
score 13.211869

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