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

• 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

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.