Please use this identifier to cite or link to this item:
https://repositorio.ufba.br/handle/ri/5216
metadata.dc.type: | Artigo de Periódico Artigo de Periódico |
Title: | Fuzzy model-based predictive hybrid control of polymerization processes |
Other Titles: | Industrial & Engineering Chemistry Research |
Authors: | 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 |
Abstract: | 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 |
Issue Date: | 2009 |
Appears in Collections: | Artigo Publicado em Periódico (PEI) |
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File | Description | Size | Format | |
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ie900352d.pdf Restricted Access | 230,36 kB | Adobe PDF | View/Open Request a copy |
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