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: K., Ramesh, Anwaruddin, Hisyam, Suriya Kumar, Sinnadurai
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/5393/
http://umpir.ump.edu.my/id/eprint/5393/1/813757.pdf
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author K., Ramesh
Anwaruddin, Hisyam
Suriya Kumar, Sinnadurai
author_facet K., Ramesh
Anwaruddin, Hisyam
Suriya Kumar, Sinnadurai
author_sort K., Ramesh
building UMP Institutional Repository
collection Online Access
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 Universiti Malaysia Pahang
institution_category Local University
language English
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publishDate 2014
publisher Hindawi Publishing Corporation
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spelling ump-53932018-01-11T00:55:39Z http://umpir.ump.edu.my/id/eprint/5393/ A New Approach to the Identification of Distillation Column Based on Hammerstein Model K., Ramesh Anwaruddin, Hisyam Suriya Kumar, Sinnadurai TP Chemical technology 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. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5393/1/813757.pdf K., Ramesh and Anwaruddin, Hisyam and Suriya Kumar, Sinnadurai (2014) A New Approach to the Identification of Distillation Column Based on Hammerstein Model. Modelling and Simulation in Engineering, 2014. pp. 799-806. ISSN 1687-5591. (Published) http://dx.doi.org/10.1155/2014/813757 DOI: 10.1155/2014/813757
spellingShingle TP Chemical technology
K., Ramesh
Anwaruddin, Hisyam
Suriya Kumar, Sinnadurai
A New Approach to the Identification of Distillation Column Based on Hammerstein Model
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
topic TP Chemical technology
url http://umpir.ump.edu.my/id/eprint/5393/
http://umpir.ump.edu.my/id/eprint/5393/
http://umpir.ump.edu.my/id/eprint/5393/
http://umpir.ump.edu.my/id/eprint/5393/1/813757.pdf