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Controllers optimization for a fluid mixing system using metamodeling approach

Abdullah, Shahrum Shah and Mohamed Ali, Mohamed Sultan and C., Osman David (2009) Controllers optimization for a fluid mixing system using metamodeling approach. International Journal of Simulation Modeling, 8 (1). pp. 48-59. ISSN 1726-4529

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Official URL: http://dx.doi.org/10.2507/IJSIMM08(1)5.117

Abstract

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 non-linear 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. 14 refs.

Item Type:Article
Uncontrolled Keywords:radial basis function, metamodelling, liquid mixing process, numerical optimization
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:11719
Deposited By: Ms Zalinda Shuratman
Deposited On:13 Jan 2011 09:42
Last Modified:13 Jan 2011 09:42

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