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Fifth International Conference on Hybrid Intelligent Systems (HIS'05)
A Proposal of a Fuzzy-Neuro Predictive Control, Tuned by Genetic Algorithms, with application to the Start-Up Control of a Distillation Column
Rio de Janeiro, Brazil
December 06-December 09
ISBN: 0-7695-2457-5
Joao Alberto Fabro, State University of West Parana, PR, Brazil
Flavio Jr. Neves, CEFET/PR, Curitiba, PR/Brazil
L. V. R. Arruda, CEFET/PR, Curitiba, PR/Brazil
This paper presents the development of a fuzzy predictive controller that can be applied to the control of multi-stage processes. Recurrent neural networks are used to identify each stage of the controlled process, and then provide predictions about the stage behaviour. These predictions are used by a set of fuzzy controllers, in order to accomplish several control procedures needed to start-up a distillation column from chemical industry. Genetic algorithms (GA?s) are used to automatically tune the controllers.
Citation:
Joao Alberto Fabro, Flavio Jr. Neves, L. V. R. Arruda, "A Proposal of a Fuzzy-Neuro Predictive Control, Tuned by Genetic Algorithms, with application to the Start-Up Control of a Distillation Column," his, pp.539-541, Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005
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