Development of metamodeling tool for optimization of control system using MATLAB

• Main Authors: Mamat, Nor Hana, Abdullah, Shahrum Shah, Kasno, Mohamad Afif
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/15061/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:98962

Metamodeling or model reduction is an approach where a simpler approximate of actual simulation model of a system is determined. Metamodel is used in place of the actual simulation model to reduce the computational cost involved. This paper focuses on the development of a metamodeling tool for use in optimization process of a control system. This integrated and user friendly metamodeling tool is to aid designer in producing an accurate metamodel of the original system for optimization purpose. The metamodeling system for control system optimization will be integrated into a software package with Graphical User Interface (GUI). The software used in developing this metamodeling tool is MATLAB Graphical User Interface Development Environment (GUIDE) in MATLAB version 7.6. The type of metamodel used is the Radial Basis Function (RBF) Neural Network (NN).