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: | , , |
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| Format: | Book Section |
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Institute of Electrical and Electronics Engineers
2008
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/12703/ http://dx.doi.org/10.1109/ICIEA.2008.4582724 |
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| Summary: | 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. |
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