A New Approach to the Identification of Distillation Column Based on Hammerstein Model

Developing a suitable nonlinear model is the most challenging problem in the application of nonlinear model based controllers to distillation column. Hammerstein model consists of a nonlinear static element described by wavenet based nonlinear function, followed by a linear dynamic element described...

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Main Authors: Ramesh Kanthasamy, Hisyam Anwaruddin, Suriya Kumar Sinnadurai
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2014/813757
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author Ramesh Kanthasamy
Hisyam Anwaruddin
Suriya Kumar Sinnadurai
author_facet Ramesh Kanthasamy
Hisyam Anwaruddin
Suriya Kumar Sinnadurai
author_sort Ramesh Kanthasamy
collection DOAJ
description Developing a suitable nonlinear model is the most challenging problem in the application of nonlinear model based controllers to distillation column. Hammerstein model consists of a nonlinear static element described by wavenet based nonlinear function, followed by a linear dynamic element described by the Output Error(OE) model was used in this study to represent the nonlinear dynamics of the distillation column. The model parameters were identified using iterative prediction-error minimization method. The model validation results proved that the Hammerstein model was capable of capturing the nonlinear dynamics of distillation column.
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institution OA Journals
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publishDate 2014-01-01
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spelling doaj-art-fa3e2700669547429984a507da2e0dfa2025-08-20T02:22:41ZengWileyModelling and Simulation in Engineering1687-55911687-56052014-01-01201410.1155/2014/813757813757A New Approach to the Identification of Distillation Column Based on Hammerstein ModelRamesh Kanthasamy0Hisyam Anwaruddin1Suriya Kumar Sinnadurai2Process Systems Engineering Group (PSEG), Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang, 26300 Kuantan, Pahang, MalaysiaProcess Systems Engineering Group (PSEG), Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang, 26300 Kuantan, Pahang, MalaysiaCentre for Modern Languages and Human Sciences, Universiti Malaysia Pahang, 26300 Kuantan, Pahang, MalaysiaDeveloping a suitable nonlinear model is the most challenging problem in the application of nonlinear model based controllers to distillation column. Hammerstein model consists of a nonlinear static element described by wavenet based nonlinear function, followed by a linear dynamic element described by the Output Error(OE) model was used in this study to represent the nonlinear dynamics of the distillation column. The model parameters were identified using iterative prediction-error minimization method. The model validation results proved that the Hammerstein model was capable of capturing the nonlinear dynamics of distillation column.http://dx.doi.org/10.1155/2014/813757
spellingShingle Ramesh Kanthasamy
Hisyam Anwaruddin
Suriya Kumar Sinnadurai
A New Approach to the Identification of Distillation Column Based on Hammerstein Model
Modelling and Simulation in Engineering
title A New Approach to the Identification of Distillation Column Based on Hammerstein Model
title_full A New Approach to the Identification of Distillation Column Based on Hammerstein Model
title_fullStr A New Approach to the Identification of Distillation Column Based on Hammerstein Model
title_full_unstemmed A New Approach to the Identification of Distillation Column Based on Hammerstein Model
title_short A New Approach to the Identification of Distillation Column Based on Hammerstein Model
title_sort new approach to the identification of distillation column based on hammerstein model
url http://dx.doi.org/10.1155/2014/813757
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