Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model

Distillation columns are fairly complex multivariable systems and needs to be controlled close to optimum operating conditions because of economic incentives. Nonlinear Model Predictive Control (NMPC) scheme is one of the best options to be explored for proper control of distillation columns. In th...

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Main Authors: K., Ramesh, Anwaruddin, Hisyam, N., Aziz, S. R., Abd Shukor
Format: Article
Language:en
en
Published: International Association of Engineers 2012
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Online Access:http://umpir.ump.edu.my/id/eprint/6772/1/Nonlinear_model_predictive_control.pdf
http://umpir.ump.edu.my/id/eprint/6772/3/fkksa-2012-ramesh-Nonlinear%20Model%20Predictive%20Control%20of%20a%20Distillation.pdf
http://umpir.ump.edu.my/id/eprint/6772/
http://www.engineeringletters.com/issues_v20/issue_4/EL_20_4_04.pdf
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author K., Ramesh
Anwaruddin, Hisyam
N., Aziz
S. R., Abd Shukor
author_facet K., Ramesh
Anwaruddin, Hisyam
N., Aziz
S. R., Abd Shukor
author_sort K., Ramesh
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
description Distillation columns are fairly complex multivariable systems and needs to be controlled close to optimum operating conditions because of economic incentives. Nonlinear Model Predictive Control (NMPC) scheme is one of the best options to be explored for proper control of distillation columns. In the present work, a new wavenet based Hammerstein model NMPC has been developed to control distillation column. An experimentally validated equilibrium model was used as plant model in nonlinear system identification and in NMPC. Two multiple-input-single-output (MISO) wavenet based Hammerstein models are developed to model the dynamics of the distillation column. The nonlinear model parameters were estimated using iterative prediction error minimization method. The Unscented Kalman Filter (UKF) was used to estimate the state variables in NMPC and the NLP problem was solved using sequential quadratic programming (SQP) method. The closed loop control studies have indicated that the performance of developed NMPC scheme was good in controlling the distillation column
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spelling my.ump.umpir.67722018-01-11T01:04:07Z http://umpir.ump.edu.my/id/eprint/6772/ Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model K., Ramesh Anwaruddin, Hisyam N., Aziz S. R., Abd Shukor QD Chemistry Distillation columns are fairly complex multivariable systems and needs to be controlled close to optimum operating conditions because of economic incentives. Nonlinear Model Predictive Control (NMPC) scheme is one of the best options to be explored for proper control of distillation columns. In the present work, a new wavenet based Hammerstein model NMPC has been developed to control distillation column. An experimentally validated equilibrium model was used as plant model in nonlinear system identification and in NMPC. Two multiple-input-single-output (MISO) wavenet based Hammerstein models are developed to model the dynamics of the distillation column. The nonlinear model parameters were estimated using iterative prediction error minimization method. The Unscented Kalman Filter (UKF) was used to estimate the state variables in NMPC and the NLP problem was solved using sequential quadratic programming (SQP) method. The closed loop control studies have indicated that the performance of developed NMPC scheme was good in controlling the distillation column International Association of Engineers 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6772/1/Nonlinear_model_predictive_control.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/6772/3/fkksa-2012-ramesh-Nonlinear%20Model%20Predictive%20Control%20of%20a%20Distillation.pdf K., Ramesh and Anwaruddin, Hisyam and N., Aziz and S. R., Abd Shukor (2012) Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model. Engineering Letters, 20 (4). pp. 1-6. ISSN 1816-093X (Print); 1816-0948 (Online). (Published) http://www.engineeringletters.com/issues_v20/issue_4/EL_20_4_04.pdf
spellingShingle QD Chemistry
K., Ramesh
Anwaruddin, Hisyam
N., Aziz
S. R., Abd Shukor
Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model
title Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model
title_full Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model
title_fullStr Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model
title_full_unstemmed Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model
title_short Nonlinear Model Predictive Control of a Distillation Column Using Wavenet Based Hammerstein Model
title_sort nonlinear model predictive control of a distillation column using wavenet based hammerstein model
topic QD Chemistry
url http://umpir.ump.edu.my/id/eprint/6772/1/Nonlinear_model_predictive_control.pdf
http://umpir.ump.edu.my/id/eprint/6772/3/fkksa-2012-ramesh-Nonlinear%20Model%20Predictive%20Control%20of%20a%20Distillation.pdf
http://umpir.ump.edu.my/id/eprint/6772/
http://www.engineeringletters.com/issues_v20/issue_4/EL_20_4_04.pdf
url_provider http://umpir.ump.edu.my/