| Titre : | Subspace - modeling - based nonlinear measurement for process design (2012) |
| Auteurs : | XinJiang Lu, Auteur ; MingHui Huang, Auteur ; YiBo Li, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 50 N° 23, Décembre 2011) |
| Article en page(s) : | pp. 13457–13465 |
| Note générale : | Chimie industrielle |
| Langues : | Anglais |
| Tags : | Nonlinear processes |
| Résumé : | In industry, many nonlinear processes can be approximated well by a linear model under a suitable design parameter, upon which a linear controller can effectively control these processes. The key problem is how to find this suitable design parameter, which is never considered in process design. In this paper, a novel design for control approach is proposed to design the process to have a satisfactory linear approximation. First, a subspace-modeling-based nonlinear measurement is proposed to avoid the infinite dimensional optimization problem in the traditional nonlinearity measurement. Then a particle-swarm-optimization-based design approach is developed to obtain the optimal design parameter through solving the nonconvex and nondifferential measurement problem. Finally, the proposed design is applied to design a practical curing oven and compared with the existing design. |
| DEWEY : | 660 |
| ISSN : | 0888-5885 |
| En ligne : | http://pubs.acs.org/doi/abs/10.1021/ie2008554 |
