Improved multi-model predictive control to reject very large disturbances on a distillation column
A multi model predictive control and proportional-integral controller switching (MMPCPIS) approach is proposed to control a nonlinear distillation column. The study was implemented on a multivariable nonlinear distillation column (Column A). The setpoint tracking and disturbance rejection performanc...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Engineering Universitas Indonesia
2016
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/74597/1/ArshadAhmad2016_Improvedmulti-modelpredictivecontrol.pdf http://eprints.utm.my/id/eprint/74597/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995421902&doi=10.14716%2fijtech.v7i6.3524&partnerID=40&md5=a11882d1cde721a255948a327ae0e444 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.74597 |
---|---|
record_format |
eprints |
spelling |
my.utm.745972017-11-29T23:58:44Z http://eprints.utm.my/id/eprint/74597/ Improved multi-model predictive control to reject very large disturbances on a distillation column Wahid, Abdul Ahmad, Arshad TP Chemical technology A multi model predictive control and proportional-integral controller switching (MMPCPIS) approach is proposed to control a nonlinear distillation column. The study was implemented on a multivariable nonlinear distillation column (Column A). The setpoint tracking and disturbance rejection performances of the proposed MMPCPIS were evaluated and compared to a proportional-integral (PI) controller and the hybrid controller (HC). MMPCPIS developed to overcome the HC's limitation when dealing with very large disturbance changes (50%). MMPCPIS provided improvements by 27% and 31% of the ISE (integral of square error) for feed flow rate and feed composition disturbance changes, respectively, compared with the PI controller, and 24% and 54% of the ISE for feed flow rate and feed composition disturbance change, respectively, compared with HC. Faculty of Engineering Universitas Indonesia 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/74597/1/ArshadAhmad2016_Improvedmulti-modelpredictivecontrol.pdf Wahid, Abdul and Ahmad, Arshad (2016) Improved multi-model predictive control to reject very large disturbances on a distillation column. International Journal of Technology, 7 (6). pp. 962-971. ISSN 2086-9614 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995421902&doi=10.14716%2fijtech.v7i6.3524&partnerID=40&md5=a11882d1cde721a255948a327ae0e444 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
language |
English |
topic |
TP Chemical technology |
spellingShingle |
TP Chemical technology Wahid, Abdul Ahmad, Arshad Improved multi-model predictive control to reject very large disturbances on a distillation column |
description |
A multi model predictive control and proportional-integral controller switching (MMPCPIS) approach is proposed to control a nonlinear distillation column. The study was implemented on a multivariable nonlinear distillation column (Column A). The setpoint tracking and disturbance rejection performances of the proposed MMPCPIS were evaluated and compared to a proportional-integral (PI) controller and the hybrid controller (HC). MMPCPIS developed to overcome the HC's limitation when dealing with very large disturbance changes (50%). MMPCPIS provided improvements by 27% and 31% of the ISE (integral of square error) for feed flow rate and feed composition disturbance changes, respectively, compared with the PI controller, and 24% and 54% of the ISE for feed flow rate and feed composition disturbance change, respectively, compared with HC. |
format |
Article |
author |
Wahid, Abdul Ahmad, Arshad |
author_facet |
Wahid, Abdul Ahmad, Arshad |
author_sort |
Wahid, Abdul |
title |
Improved multi-model predictive control to reject very large disturbances on a distillation column |
title_short |
Improved multi-model predictive control to reject very large disturbances on a distillation column |
title_full |
Improved multi-model predictive control to reject very large disturbances on a distillation column |
title_fullStr |
Improved multi-model predictive control to reject very large disturbances on a distillation column |
title_full_unstemmed |
Improved multi-model predictive control to reject very large disturbances on a distillation column |
title_sort |
improved multi-model predictive control to reject very large disturbances on a distillation column |
publisher |
Faculty of Engineering Universitas Indonesia |
publishDate |
2016 |
url |
http://eprints.utm.my/id/eprint/74597/1/ArshadAhmad2016_Improvedmulti-modelpredictivecontrol.pdf http://eprints.utm.my/id/eprint/74597/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995421902&doi=10.14716%2fijtech.v7i6.3524&partnerID=40&md5=a11882d1cde721a255948a327ae0e444 |
_version_ |
1643656888266522624 |
score |
13.160551 |