Controllers optimization for a fluid mixing system using metamodelling approach
M. Mohamed Sultan · International Journal of Simulation Modelling · 2009
Offline optimization of controller parameters for complex non-linear processes can be time consuming, even with high performance computers.This paper demonstrates how Metamodelling techniques can be utilized to quickly tune the controller parameters for a nonlinear process.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 founded a good approximation to the optimum controller parameters in this case.This paper proposes an intuitive methodology to use only a small fraction of the design space to create a Radial Basis Function Neural Network Metamodel that is good enough to optimize the system.Comparisons were made between the controllers optimized using the Metamodelling technique and the original large space design.