Abstract

Distillation exhibits highly nonlinear dynamic behavior and the development of suitable nonlinear model to distillation pose a challenging problem to current process industry. In the absence of a reasonably accurate nonlinear model, distillation column is difficult to control using advanced model based control strategies. In this paper, a novel sigmoidnet based nonlinear auto-regressive with exogenous inputs (NARX) model is developed for high purity distillation column and verified using the experimentally validated first principle model. The model validation and regressor analysis proved that the developed NARX model was capable of capturing the nonlinear dynamics of a distillation column.

Recommended Citation

Ramesh, K.; Abd. Shukor, S.R.; and Aziz, N. (2008) "Development of Sigmoidnet Based NARX Model for a Distillation Column," Chemical Product and Process Modeling: Vol. 3 : Iss. 2, Article 4.
Available at: http://www.bepress.com/cppm/vol3/iss2/4