Metamodeling approach for PID controller optimization in an evaporator process

This paper aims to describe Metamodeling approach, a technique that can be utilized to tune controller parameters for a non-linear process quickly, and how it is used to solve real world engineering problems by applying it to the problem of designing a proportional-integral-derivative (PID) controll...

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Main Authors:	Shah, M. F. N., Zainal, M. A., Faruq, A., Abdullah, Shahrum Shah
Format:	Book Section
Published:	IEEE 2011
Subjects:	T Technology
Online Access:	http://eprints.utm.my/id/eprint/29356/ http://dx.doi.org/ 10.1109/ICMSAO.2011.5775616
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Institution:	Universiti Teknologi Malaysia

id	my.utm.29356
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spelling	my.utm.293562017-02-05T00:00:07Z http://eprints.utm.my/id/eprint/29356/ Metamodeling approach for PID controller optimization in an evaporator process Shah, M. F. N. Zainal, M. A. Faruq, A. Abdullah, Shahrum Shah T Technology This paper aims to describe Metamodeling approach, a technique that can be utilized to tune controller parameters for a non-linear process quickly, and how it is used to solve real world engineering problems by applying it to the problem of designing a proportional-integral-derivative (PID) controller. The process used in this study is a single input single output (SISO) evaporator system which is 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. Also Genetic Algorithm (GA) and Ant Colony Optimization (ACO) are used to design the controller parameters and are compared with Metamodeling. IEEE 2011 Book Section PeerReviewed Shah, M. F. N. and Zainal, M. A. and Faruq, A. and Abdullah, Shahrum Shah (2011) Metamodeling approach for PID controller optimization in an evaporator process. In: 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization. IEEE, New Jersey, 001-004. ISBN 978-145770005-7 http://dx.doi.org/ 10.1109/ICMSAO.2011.5775616 10.1109/ICMSAO.2011.5775616
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	T Technology
spellingShingle	T Technology Shah, M. F. N. Zainal, M. A. Faruq, A. Abdullah, Shahrum Shah Metamodeling approach for PID controller optimization in an evaporator process
description	This paper aims to describe Metamodeling approach, a technique that can be utilized to tune controller parameters for a non-linear process quickly, and how it is used to solve real world engineering problems by applying it to the problem of designing a proportional-integral-derivative (PID) controller. The process used in this study is a single input single output (SISO) evaporator system which is 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. Also Genetic Algorithm (GA) and Ant Colony Optimization (ACO) are used to design the controller parameters and are compared with Metamodeling.
format	Book Section
author	Shah, M. F. N. Zainal, M. A. Faruq, A. Abdullah, Shahrum Shah
author_facet	Shah, M. F. N. Zainal, M. A. Faruq, A. Abdullah, Shahrum Shah
author_sort	Shah, M. F. N.
title	Metamodeling approach for PID controller optimization in an evaporator process
title_short	Metamodeling approach for PID controller optimization in an evaporator process
title_full	Metamodeling approach for PID controller optimization in an evaporator process
title_fullStr	Metamodeling approach for PID controller optimization in an evaporator process
title_full_unstemmed	Metamodeling approach for PID controller optimization in an evaporator process
title_sort	metamodeling approach for pid controller optimization in an evaporator process
publisher	IEEE
publishDate	2011
url	http://eprints.utm.my/id/eprint/29356/ http://dx.doi.org/ 10.1109/ICMSAO.2011.5775616
_version_	1643648282144014336

Metamodeling approach for PID controller optimization in an evaporator process

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