| Titre : | Fuzzy model-based predictive hybrid control of polymerization processes (2010) |
| Auteurs : | Nádson M. Nascimento Lima, Auteur ; Flavio Manenti, Auteur ; Rubens Maciel Filho, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 48 N° 18, Septembre 2009) |
| Article en page(s) : | pp. 8542–8550 |
| Note générale : | Chemical engineering |
| Langues : | Anglais |
| Tags : | Fuzzy model-based predictive hybrid controller Polymerization processes Nonlinear behaviors |
| Résumé : | 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. |
| En ligne : | http://pubs.acs.org/doi/abs/10.1021/ie900352d |
