Por favor, use este identificador para citar o enlazar este ítem:
https://repositorio.ufba.br/handle/ri/5220
metadata.dc.type: | Artigo de Periódico Artigo de Periódico |
Título : | Dynamic optimization of a mma with vac copolymerization |
Otros títulos : | Chemical Engineering Transactions |
Autor : | Lima, Nádson Murilo Nascimento Liñan, Lamia Zuñiga Maciel Filho, Rubens Manenti, Flavio Manca, Davide Embiruçu, Marcelo |
metadata.dc.creator: | Lima, Nádson Murilo Nascimento Liñan, Lamia Zuñiga Maciel Filho, Rubens Manenti, Flavio Manca, Davide Embiruçu, Marcelo |
Resumen : | Increasing worldwide market competitiveness and reduced profit margins are pressing chemical and process industries to move towards a predictive control approach, based on first-principles mathematical models, as well as plant dynamic optimization. In this perspective, the paper focuses on the development of a nonlinear model predictive control (NMPC) to manage the copolymerization process of methyl methacrylate (MMA) with vinyl acetate (VAc), consisting of a jacketed continuous stirred tank reactor, a separator, and a recycle loop. This system presents a highly complex behavior, thus making difficult the success of controllers based on linear models. A detailed differential and algebraic mathematical model consists of 53 equations and is implemented in Fortran 90/95 to simulate the plant and setup the NMPC. The numerical solution is performed by using IMSL library. NMPC is proved to be superior to a linear model predictive control approach and appears to hold a considerable promise for such a reactor system. |
URI : | http://www.repositorio.ufba.br/ri/handle/ri/5220 |
Fecha de publicación : | 2009 |
Aparece en las colecciones: | Artigo Publicado em Periódico (PEI) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
231.pdf | 744,21 kB | Adobe PDF | Visualizar/Abrir |
Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.