Modeling a Nonlinear Binary Distillation Column

Abstract

Because the process dynamics tend to become too complex to be efficiently controlled, there is always a need to develop innovative control technologies, in order to obtain high economic performance. A way to achieve this objective is to use one of the control strategies which rely on the controlled process model such adaptive control, model predictive control, internal model control, robust control. In order to use one of these control techniques, the process model has to be obtained. The purpose of this paper is to present a model identification method, based on Markov parameters, for a nonlinear chemical process, the propylene/propane binary distillation column.