| Revista: | Brazilian journal of chemical engineering |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000308681 |
| ISSN: | 0104-6632 |
| Autores: | Vega, M.P1 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: | 471-482 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | or multivariable non linear predictive control implementations, a hybrid-neural model (lumped model) was successfully used for modeling a loop-tubular polymerization reactor (a lumped or distributed model, depending on recycle ratio). Bifurcation diagrams were computed in order to investigate the agreement between process and model, of paramount importance for model based controller implementation purposes. Performance was evaluated considering the nonlinear model predictive control of both a loop tubular reactor (lumped) SISO problem and a tubular reactor (distributed) MIMO problem |
| Disciplinas: | Química |
| Palabras clave: | Ingeniería química, Reactor de rizo tubular, Polimerización, Modelos no lineales, Control predictivo, Modelación neural híbrida |
| Keyword: | Chemistry, Chemical engineering, Loop-tubular reactor, Polymerization, Nonlinear models, Predictive control, Hybrid neural modelling |
| Texto completo: | Texto completo (Ver HTML) |
