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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Format: | Thesis |
Language: | English |
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2008
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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. |
first_indexed | 2024-10-01T03:47:41Z |
format | Thesis |
id | ntu-10356/13218 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T03:47:41Z |
publishDate | 2008 |
record_format | dspace |
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 |
work_keys_str_mv | AT tangyue apracticalstudyofdistillationcolumnidentificationandmodelpredictivecontrol AT tangyue practicalstudyofdistillationcolumnidentificationandmodelpredictivecontrol |