| Revista: | Brazilian journal of chemical engineering |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000308668 |
| ISSN: | 0104-6632 |
| Autores: | Bolsoni, A1 Lima, E.L Pinto, J.C |
| Instituciones: | 1Universidade Federal do Rio de Janeiro, Instituto Alberto Luiz Coimbra de Pos-Graduacao e Pesquisa de Engenharia, Rio de Janeiro. Brasil |
| Año: | 2000 |
| Periodo: | Dic |
| Volumen: | 17 |
| Número: | 4-7 |
| Paginación: | 565-574 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | The objective of this work is to develop a strategy of nonlinear model predictive control for industrial slurry reactors of propylene polymerizations. The controlled variables are the melt index (polymer quality) and the amount of unreacted monomer (productivity). The model used in the controller presents a linear dynamics and a nonlinear static gain given by a neuronal network MLP (multilayer perceptron). The simulated performance of the controller was evaluated for a typical propylene polymerization process. It is shown that the performance of the proposed control strategy is much better than the one obtained with the use of linear predictive controllers for setpoint tracking control problems |
| Disciplinas: | Química |
| Palabras clave: | Ingeniería química, Control predictivo, Reactores de polimerización, Redes neuronales, Indice de fusión, Polipropileno |
| Keyword: | Chemistry, Chemical engineering, Predictive control, Polymerization reactors, Neural networks, Melt Index, Propylene |
| Texto completo: | Texto completo (Ver HTML) |
