A practical study of distillation column identification and model predictive control

Distillation is a widely used separation technique in the process industries. The control of distillation column is one important problem of process control and the improved distillation control will make significant economic advantages. However, as a complex multivariable non-linear system, it dese...

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Bibliographic Details
Main Author: Tang, Yue.
Other Authors: Ling, Keck Voon
Format: Thesis
Language:English
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/13218
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author Tang, Yue.
author2 Ling, Keck Voon
author_facet Ling, Keck Voon
Tang, Yue.
author_sort Tang, Yue.
collection NTU
description Distillation is a widely used separation technique in the process industries. The control of distillation column is one important problem of process control and the improved distillation control will make significant economic advantages. However, as a complex multivariable non-linear system, it deserves more studies by both academic and industrial researchers. Among the often-used advanced techniques for process control, Model Predictive Control (MPC) offers a good balance between performance and simplicity. But the specific properties of distillation column, e.g., multivariable interaction, large disturbances, tight constraints and model uncertainties, make the distillation MPC design different with other control systems.
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spelling ntu-10356/132182023-07-04T15:17:31Z A practical study of distillation column identification and model predictive control Tang, Yue. Ling, Keck Voon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Distillation is a widely used separation technique in the process industries. The control of distillation column is one important problem of process control and the improved distillation control will make significant economic advantages. However, as a complex multivariable non-linear system, it deserves more studies by both academic and industrial researchers. Among the often-used advanced techniques for process control, Model Predictive Control (MPC) offers a good balance between performance and simplicity. But the specific properties of distillation column, e.g., multivariable interaction, large disturbances, tight constraints and model uncertainties, make the distillation MPC design different with other control systems. Master of Engineering 2008-10-20T07:19:36Z 2008-10-20T07:19:36Z 1999 1999 Thesis http://hdl.handle.net/10356/13218 en 140 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Tang, Yue.
A practical study of distillation column identification and model predictive control
title A practical study of distillation column identification and model predictive control
title_full A practical study of distillation column identification and model predictive control
title_fullStr A practical study of distillation column identification and model predictive control
title_full_unstemmed A practical study of distillation column identification and model predictive control
title_short A practical study of distillation column identification and model predictive control
title_sort practical study of distillation column identification and model predictive control
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
url http://hdl.handle.net/10356/13218
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