Model predictive control of shell benchmark process

Simultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to be particularly difficult because of the interaction inherent in the process. The development of model based control (MPC) theory in the p...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Amjad, S. (author)
مؤلفون آخرون: Al-Duwaish, H.N. (author), unknown (author)
التنسيق: article
منشور في: 2003
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14642/1/14642_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14642/2/14642_2.doc
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
_version_ 1864513403224064000
author Amjad, S.
author2 Al-Duwaish, H.N.
unknown
author2_role author
author
author_facet Amjad, S.
Al-Duwaish, H.N.
unknown
author_role author
dc.creator.none.fl_str_mv Amjad, S.
Al-Duwaish, H.N.
unknown
dc.date.none.fl_str_mv 2003-12
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14642/1/14642_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14642/2/14642_2.doc
(2003) Model predictive control of shell benchmark process. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 2.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14642/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Model predictive control of shell benchmark process
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Simultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to be particularly difficult because of the interaction inherent in the process. The development of model based control (MPC) theory in the past 20-25 years has provided a framework which caters for the above distillation control problem. MPC technology has penetrated a significant portion of the process industries and harvested large economical benefits. In this paper model predictive controller is proposed for the control of a two-input-two-output high purity shell distillation column. The use of this controller allows for the impurity and pressure control to be decoupled while simultaneously satisfying column operating conditions. For this purpose the dynamic process model is identified using classical least squares technique.
eu_rights_str_mv openAccess
format article
id KFUPM_1e54ea2b7cce335df6e3d54a812cd070
identifier_str_mv (2003) Model predictive control of shell benchmark process. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 2.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14642
publishDate 2003
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Model predictive control of shell benchmark processAmjad, S.Al-Duwaish, H.N.unknownComputerSimultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to be particularly difficult because of the interaction inherent in the process. The development of model based control (MPC) theory in the past 20-25 years has provided a framework which caters for the above distillation control problem. MPC technology has penetrated a significant portion of the process industries and harvested large economical benefits. In this paper model predictive controller is proposed for the control of a two-input-two-output high purity shell distillation column. The use of this controller allows for the impurity and pressure control to be decoupled while simultaneously satisfying column operating conditions. For this purpose the dynamic process model is identified using classical least squares technique.IEEE2003-122020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14642/1/14642_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14642/2/14642_2.doc (2003) Model predictive control of shell benchmark process. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 2. enenhttps://eprints.kfupm.edu.sa/id/eprint/14642/info:eu-repo/semantics/openAccessoai::146422019-11-01T14:06:46Z
spellingShingle Model predictive control of shell benchmark process
Amjad, S.
Computer
status_str publishedVersion
title Model predictive control of shell benchmark process
title_full Model predictive control of shell benchmark process
title_fullStr Model predictive control of shell benchmark process
title_full_unstemmed Model predictive control of shell benchmark process
title_short Model predictive control of shell benchmark process
title_sort Model predictive control of shell benchmark process
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14642/1/14642_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14642/2/14642_2.doc