| Titre : | Optimal selection of dominant measurements and manipulated variables for production control (2010) |
| Auteurs : | Wuendy Abi Assali, Auteur ; Thomas McAvoy, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 49 N° 17, Septembre 1, 2010) |
| Article en page(s) : | pp 7832–7842 |
| Note générale : | Chimie industrielle |
| Langues : | Anglais |
| Tags : | Optimal Production control. |
| Résumé : | The main objective in operating a chemical plant is to improve profit while assuring products meet required specifications and plant operation satisfies environmental and operational constraints. A subobjective that directly affects profit is to improve the control performance of key economic variables in the plant, particularly the production rate and quality. An optimal control-based approach is proposed to determine a set of dominant measurements and manipulated variables and to structure them to improve control of the production rate and product quality. After the dominant variables are identified, a decentralized control structure is designed to control these variables. Then, a model predictive controller (MPC) is built on top of the decentralized control structure. The approach is applied to the Tennessee Eastman Process to demonstrate its effectiveness. |
| DEWEY : | 660 |
| ISSN : | 0888-5885 |
| En ligne : | http://pubs.acs.org/doi/abs/10.1021/ie901879e |
