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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Institute of Electrical and Electronics Engineers
2008
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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 |
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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 |
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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 |
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