A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys

A model predictive control strategy was proposed for control problem in a distillation column. The aim was to demonstrate process models of depropanizer from step test data and to design an advanced process control (APC) scheme to replace conventional controller for distillation column. The simulati...

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Main Author:	Farah Fatihah, Mohd Azhari
Format:	Undergraduates Project Papers
Language:	English
Published:	2013
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/7143/ http://umpir.ump.edu.my/id/eprint/7143/ http://umpir.ump.edu.my/id/eprint/7143/1/CD7155.pdf

id	ump-7143
recordtype	eprints
spelling	ump-71432015-03-03T09:34:29Z http://umpir.ump.edu.my/id/eprint/7143/ A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys Farah Fatihah, Mohd Azhari TP Chemical technology A model predictive control strategy was proposed for control problem in a distillation column. The aim was to demonstrate process models of depropanizer from step test data and to design an advanced process control (APC) scheme to replace conventional controller for distillation column. The simulation study was conducted using ASPEN HYSYS. In order to achieve the objectives, data was collected from process of depropanizer that used proportional integral derivative controller (PID) controller and the step test was run. Model predictive control (MPC) action was calculated using system identification techniques in MATLAB and process model was obtained. MPC was applied and performance of PID and MPC was compared using set point tracking.The results confirmed the potentials of the proposed strategy. Process model 2x2 constrained MPC was develop in this study. Based on the comparison of the two control methods, results presented prove that MPC can replace conventional controller, PID controller for a distillation column control. MPC also shows greater performances than PID in terms of set point tracking. Hence, MPC controller offers better control performances than PID controller, especially in multivariable processes. 2013-02 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7143/1/CD7155.pdf Farah Fatihah, Mohd Azhari (2013) A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys. Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:74686&theme=UMP2
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 Farah Fatihah, Mohd Azhari A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys
description	A model predictive control strategy was proposed for control problem in a distillation column. The aim was to demonstrate process models of depropanizer from step test data and to design an advanced process control (APC) scheme to replace conventional controller for distillation column. The simulation study was conducted using ASPEN HYSYS. In order to achieve the objectives, data was collected from process of depropanizer that used proportional integral derivative controller (PID) controller and the step test was run. Model predictive control (MPC) action was calculated using system identification techniques in MATLAB and process model was obtained. MPC was applied and performance of PID and MPC was compared using set point tracking.The results confirmed the potentials of the proposed strategy. Process model 2x2 constrained MPC was develop in this study. Based on the comparison of the two control methods, results presented prove that MPC can replace conventional controller, PID controller for a distillation column control. MPC also shows greater performances than PID in terms of set point tracking. Hence, MPC controller offers better control performances than PID controller, especially in multivariable processes.
format	Undergraduates Project Papers
author	Farah Fatihah, Mohd Azhari
author_facet	Farah Fatihah, Mohd Azhari
author_sort	Farah Fatihah, Mohd Azhari
title	A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys
title_short	A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys
title_full	A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys
title_fullStr	A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys
title_full_unstemmed	A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys
title_sort	simulation study on model predictive control application for depropanizer using aspen hysys
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/7143/ http://umpir.ump.edu.my/id/eprint/7143/ http://umpir.ump.edu.my/id/eprint/7143/1/CD7155.pdf
first_indexed	2023-09-18T22:03:33Z
last_indexed	2023-09-18T22:03:33Z
_version_	1777414558030233600

A Simulation Study on Model Predictive Control Application for Depropanizer Using Aspen Hysys

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