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https://repositorio.ufba.br/handle/ri/5216
metadata.dc.type: | Artigo de Periódico Artigo de Periódico |
Título : | Fuzzy model-based predictive hybrid control of polymerization processes |
Otros títulos : | Industrial & Engineering Chemistry Research |
Autor : | Lima, Nádson Murilo Nascimento Manenti, Flavio Maciel Filho, Rubens Embiruçu, Marcelo Maciel, Maria R. Wolf |
metadata.dc.creator: | Lima, Nádson Murilo Nascimento Manenti, Flavio Maciel Filho, Rubens Embiruçu, Marcelo Maciel, Maria R. Wolf |
Resumen : | This paper presents a fuzzy model-based predictive hybrid controller (FMPHC) for polymerization processes based on Takagi−Sugeno models and moving horizon methodology. Such processes are characterized by strongly nonlinear behaviors, which may either require significant effort to tune model-based controllers or render them ineffective. The proposed FMPHC is a promising integrated approach to handle nonlinearities and control issues. An industrial copolymerization process of ethylene and 1-butene is adopted to validate the proposed approach and to compare it to the most widespread advanced multivariable control. |
URI : | http://www.repositorio.ufba.br/ri/handle/ri/5216 |
Fecha de publicación : | 2009 |
Aparece en las colecciones: | Artigo Publicado em Periódico (PEI) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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ie900352d.pdf Restricted Access | 230,36 kB | Adobe PDF | Visualizar/Abrir Request a copy |
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