Control Performance Monitoring of LP-MPC Cascade Systems

Zhijie SUN; S. Joe QIN; Ashish SINGHAL; Larry MEGAN

doi:10.1109/acc.2011.5991438

Control Performance Monitoring of LP-MPC Cascade Systems

Zhijie SUN^*, S. Joe QIN, Ashish SINGHAL, Larry MEGAN

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

8 Citations (Scopus)

Abstract

Traditional minimum variance control (MVC) based performance monitoring methods treats all controlled variables (CVs) the same (or with some preselected weights). However, due to the nature of soft CV constraint, CVs have priority in cascade systems of linear programming - model predictive control (LP-MPC). It is desired to reduce violations of constraints for CVs at their upper or lower bounds and to keep CVs under control. In this paper, we introduce block lower triangular interactor matrix, based on which conditional MVC and corresponding performance benchmark is developed. We state that conditional MVC first consider CVs with multiple level priority and a subset of CVs in each level of priority. A simulation example is given to compare proposed method with traditional MVC methods. © 2011 AACC American Automatic Control Council.

Original language	English
Title of host publication	Proceedings of the 2011 American Control Conference
Publisher	Institute of Electrical and Electronics Engineers
Pages	4422-4427
Number of pages	6
ISBN (Electronic)	9781457700811
ISBN (Print)	9781457700804
DOIs	https://doi.org/10.1109/acc.2011.5991438
Publication status	Published - Jun 2011
Externally published	Yes
Event	2011 American Control Conference, ACC 2011 - San Francisco, United States Duration: 29 Jun 2011 → 1 Jul 2011

Publication series

Name	Proceedings of the American Control Conference
Publisher	Institute of Electrical and Electronics Engineers
ISSN (Print)	0743-1619
ISSN (Electronic)	2378-5861

Conference

Conference	2011 American Control Conference, ACC 2011
Country/Territory	United States
City	San Francisco
Period	29/06/11 → 1/07/11

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10.1109/acc.2011.5991438

Cite this

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title = "Control Performance Monitoring of LP-MPC Cascade Systems",

abstract = "Traditional minimum variance control (MVC) based performance monitoring methods treats all controlled variables (CVs) the same (or with some preselected weights). However, due to the nature of soft CV constraint, CVs have priority in cascade systems of linear programming - model predictive control (LP-MPC). It is desired to reduce violations of constraints for CVs at their upper or lower bounds and to keep CVs under control. In this paper, we introduce block lower triangular interactor matrix, based on which conditional MVC and corresponding performance benchmark is developed. We state that conditional MVC first consider CVs with multiple level priority and a subset of CVs in each level of priority. A simulation example is given to compare proposed method with traditional MVC methods. {\textcopyright} 2011 AACC American Automatic Control Council.",

author = "Zhijie SUN and QIN, {S. Joe} and Ashish SINGHAL and Larry MEGAN",

year = "2011",

month = jun,

doi = "10.1109/acc.2011.5991438",

language = "English",

isbn = "9781457700804",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "4422--4427",

booktitle = "Proceedings of the 2011 American Control Conference",

note = "2011 American Control Conference, ACC 2011 ; Conference date: 29-06-2011 Through 01-07-2011",

}

SUN, Z, QIN, SJ, SINGHAL, A & MEGAN, L 2011, Control Performance Monitoring of LP-MPC Cascade Systems. in Proceedings of the 2011 American Control Conference., 5991438, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers, pp. 4422-4427, 2011 American Control Conference, ACC 2011, San Francisco, California, United States, 29/06/11. https://doi.org/10.1109/acc.2011.5991438

Control Performance Monitoring of LP-MPC Cascade Systems. / SUN, Zhijie; QIN, S. Joe; SINGHAL, Ashish et al.
Proceedings of the 2011 American Control Conference. Institute of Electrical and Electronics Engineers, 2011. p. 4422-4427 5991438 (Proceedings of the American Control Conference).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

TY - GEN

T1 - Control Performance Monitoring of LP-MPC Cascade Systems

AU - SUN, Zhijie

AU - QIN, S. Joe

AU - SINGHAL, Ashish

AU - MEGAN, Larry

PY - 2011/6

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N2 - Traditional minimum variance control (MVC) based performance monitoring methods treats all controlled variables (CVs) the same (or with some preselected weights). However, due to the nature of soft CV constraint, CVs have priority in cascade systems of linear programming - model predictive control (LP-MPC). It is desired to reduce violations of constraints for CVs at their upper or lower bounds and to keep CVs under control. In this paper, we introduce block lower triangular interactor matrix, based on which conditional MVC and corresponding performance benchmark is developed. We state that conditional MVC first consider CVs with multiple level priority and a subset of CVs in each level of priority. A simulation example is given to compare proposed method with traditional MVC methods. © 2011 AACC American Automatic Control Council.

AB - Traditional minimum variance control (MVC) based performance monitoring methods treats all controlled variables (CVs) the same (or with some preselected weights). However, due to the nature of soft CV constraint, CVs have priority in cascade systems of linear programming - model predictive control (LP-MPC). It is desired to reduce violations of constraints for CVs at their upper or lower bounds and to keep CVs under control. In this paper, we introduce block lower triangular interactor matrix, based on which conditional MVC and corresponding performance benchmark is developed. We state that conditional MVC first consider CVs with multiple level priority and a subset of CVs in each level of priority. A simulation example is given to compare proposed method with traditional MVC methods. © 2011 AACC American Automatic Control Council.

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M3 - Conference paper (refereed)

SN - 9781457700804

T3 - Proceedings of the American Control Conference

SP - 4422

EP - 4427

BT - Proceedings of the 2011 American Control Conference

PB - Institute of Electrical and Electronics Engineers

T2 - 2011 American Control Conference, ACC 2011

Y2 - 29 June 2011 through 1 July 2011

ER -

Control Performance Monitoring of LP-MPC Cascade Systems

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