Model predictive control of shell benchmark process

Shiruz Amjad; H. N. Al-Duwuish

doi:10.1109/ICECS.2003.1301870

Model predictive control of shell benchmark process

Shiruz Amjad^*
, H. N. Al-Duwuish

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Simultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to he particularly difficult because of the interaction inherent in the process. The development of model based control ( M E ) 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 punty shell distillation column. The use of this controller allows for the impurity and pressure control to he decoupled while simultaneously satisfying column operating conditions. For this purpose the dynamic process model is identified using classical least squares technique.

Original language	English
Title of host publication	ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Pages	655-658
Number of pages	4
DOIs	https://doi.org/10.1109/ICECS.2003.1301870
State	Published - 2003

Publication series

Name	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume	2

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ICECS.2003.1301870

Cite this

Amjad, S., & Al-Duwuish, H. N. (2003). Model predictive control of shell benchmark process. In ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems (pp. 655-658). Article 301870 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2). https://doi.org/10.1109/ICECS.2003.1301870

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title = "Model predictive control of shell benchmark process",

abstract = "Simultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to he particularly difficult because of the interaction inherent in the process. The development of model based control ( M E ) 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 punty shell distillation column. The use of this controller allows for the impurity and pressure control to he decoupled while simultaneously satisfying column operating conditions. For this purpose the dynamic process model is identified using classical least squares technique.",

author = "Shiruz Amjad and Al-Duwuish, \{H. N.\}",

year = "2003",

doi = "10.1109/ICECS.2003.1301870",

language = "English",

isbn = "0780381637",

series = "Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems",

pages = "655--658",

booktitle = "ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems",

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Model predictive control of shell benchmark process. / Amjad, Shiruz; Al-Duwuish, H. N.
ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems. 2003. p. 655-658 301870 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Simultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to he particularly difficult because of the interaction inherent in the process. The development of model based control ( M E ) 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 punty shell distillation column. The use of this controller allows for the impurity and pressure control to he decoupled while simultaneously satisfying column operating conditions. For this purpose the dynamic process model is identified using classical least squares technique.

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Model predictive control of shell benchmark process

Abstract

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