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

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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Bibliographic Details
Main Authors: K., Ramesh, Anwaruddin, Hisyam, Suriya Kumar, Sinnadurai
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
Subjects:
TP Chemical technology
Online Access: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
id ump-5393
recordtype eprints
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 http://dx.doi.org/10.1155/2014/813757 DOI: 10.1155/2014/813757
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
K., Ramesh
Anwaruddin, Hisyam
Suriya Kumar, Sinnadurai
A New Approach to the Identification of Distillation Column Based on Hammerstein Model
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.
format Article
author K., Ramesh
Anwaruddin, Hisyam
Suriya Kumar, Sinnadurai
author_facet K., Ramesh
Anwaruddin, Hisyam
Suriya Kumar, Sinnadurai
author_sort K., Ramesh
title 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_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_sort new approach to the identification of distillation column based on hammerstein model
publisher Hindawi Publishing Corporation
publishDate 2014
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
first_indexed 2023-09-18T22:00:43Z
last_indexed 2023-09-18T22:00:43Z
_version_ 1777414379655921664

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