Recursive Identification of the Dynamic Behavior in a Distillation Column by Means of Autoregressive Models-Reference-Cited by-同舟云学术

Recursive Identification of the Dynamic Behavior in a Distillation Column by Means of Autoregressive Models

Published:2014-04-28 Issue:4 Volume:136 Page:
ISSN:0022-0434
Container-title:Journal of Dynamic Systems, Measurement, and Control
language:en
Short-container-title:

Author:

Aggoune Lakhdar¹,Chetouani Yahya²,Radjeai Hammoud¹

Affiliation:

1. Laboratoire d'Automatique de Sétif, Département d'Electrotechnique, Université de Sétif 1, Cité Maabouda, Route de Béjaia, Sétif 19000, Algeria e-mail:

2. Département Génie Chimique, Université de Rouen, Rue Lavoisier, Mont Saint Aignan Cedex 76821, France e-mail:

Abstract

In this study, an Autoregressive with eXogenous input (ARX) model and an Autoregressive Moving Average with eXogenous input (ARMAX) model are developed to predict the overhead temperature of a distillation column. The model parameters are estimated using the recursive algorithms. In order to select an optimal model for the process, different performance measures, such as Aikeke's Information Criterion (AIC), Root Mean Square Error (RMSE), and Nash–Sutcliffe Efficiency (NSE), are calculated.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Link

http://asmedigitalcollection.asme.org/dynamicsystems/article-pdf/doi/10.1115/1.4026837/6117549/ds_136_04_044506.pdf

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