Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Generalised predictive control algorithms are powerful control design methods widely applied to industrial processes. This approach is applied for control of an industrial distillation column. However, there is no easy way to solve the problem of constraints. This study presents an application of different methods of optimisation to constrained generalised predictive control, in order to achieve optimal performance. We show how these optimisations methods can be applied to solve the constrained generalised predictive control efficiently and with less computation burden than that of other methods.
How to cite this article:
M. Sedraoui and S. Filali . Analysis of Different Solutions to Multivariable Constrained Predictive Control: Application to A Distillation Process.
DOI: https://doi.org/10.36478/jeasci.2006.234.241
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2006.234.241