Modeling and predictive control using fuzzy logic: Application for a polymerization system

• Autor(es): Lima, Nádson Murilo Nascimento ; Liñan, Lamia Zuñiga ; Maciel Filho, Rubens ; Maciel, Maria R. Wolf ; Embiruçu, Marcelo ; Grácio, Filipe ; Lima, Nádson Murilo Nascimento ; Liñan, Lamia Zuñiga ; Maciel Filho, Rubens ; Maciel, Maria R. Wolf ; Embiruçu, Marcelo ; Grácio, Filipe
• Data: 2013
• Origem: Oasisbr
• Assunto(s): Model predictive control; Fuzzy dynamic modeling; Model identification; Takagi-Sugeno model; Copolymerization
• Tipo de Documento: Artigo científico
• Idioma: Inglês

Descrição

Texto completo: acesso restrito. p.965-978

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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.