Shah, M. F. N. and Zainal, M. A. and Faruq, A. and Abdullah, Shahrum Shah (2011) Metamodeling approach for PID controller optimization in an evaporator process. In: 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization. IEEE, New Jersey, 001-004. ISBN 978-145770005-7
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Official URL: http://dx.doi.org/ 10.1109/ICMSAO.2011.5775616
Abstract
This paper aims to describe Metamodeling approach, a technique that can be utilized to tune controller parameters for a non-linear process quickly, and how it is used to solve real world engineering problems by applying it to the problem of designing a proportional-integral-derivative (PID) controller. The process used in this study is a single input single output (SISO) evaporator system which is 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. Also Genetic Algorithm (GA) and Ant Colony Optimization (ACO) are used to design the controller parameters and are compared with Metamodeling.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | ant colony optimization, genetic algorithm, metamodeling, PID, radial basis function neural network |
| Subjects: | T Technology |
| Divisions: | Others |
| ID Code: | 29356 |
| Deposited By: | Liza Porijo |
| Deposited On: | 07 Mar 2013 08:19 |
| Last Modified: | 05 Feb 2017 00:00 |
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