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Type: Artigo de periódico
Title: Modeling and Predictive Control Using Fuzzy Logic: Application for a Polymerization System
Author: Lima, NMN
Linan, LZ
Maciel, R
Maciel, MRW
Abstract: In this study, a predictive control system based on type Takagi-Sugeno fuzzy models was developed for a polymerization process. Such processes typically have a highly nonlinear dynamic behavior causing the performance of controllers based on conventional internal models to be poor or to require considerable effort in controller tuning. The copolymerization of methyl methacrylate with vinyl acetate was considered for analysis of the performance of the proposed control system. A nonlinear mathematical model which describes the reaction plant was used for data generation and implementation of the controller. The modeling using the fuzzy approach showed an excellent capacity for output prediction as a function of dynamic data input. The performance of the projected control system and dynamic matrix control for regulatory and servo problems were compared and the obtained results showed that the control system design is robust, of simple implementation and provides a better response than conventional predictive control. (C) 2009 American Institute of Chemical Engineers AIChE J, 56: 965-978, 2010
Subject: model predictive control
fuzzy dynamic modeling
model identification
Takagi-Sugeno model
Country: EUA
Editor: John Wiley & Sons Inc
Rights: fechado
Identifier DOI: 10.1002/aic.12030
Date Issue: 2010
Appears in Collections:Unicamp - Artigos e Outros Documentos

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