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A qualitative shape analysis formalism for monitoring, control loop performance

Rengaswamy, R; Hägglund, Tore LU and Venkatasubramanian, V. (2001) In Engineering Applications of Artificial Intelligence 14(1). p.23-33
Abstract
Optimal performance of controllers and control loops is crucial for process economy, quality and safety in chemical plants. Industrial statistics show that often a significant percentage of them are performing sub-optimally at any given time. Effective real-time monitoring of control loops is a difficult task as there may be dozens of loops to monitor in a typical process. In addition, abnormal or suboptimal performance is often not apparent under cursory inspection. Hence, automated approaches for the real-time monitoring of control loop performance is of considerable insterest. In this paper, we propose an automated qualitative shape analysis (QSA) formalism for detecting and diagnosing different kinds of oscillations in control loops.... (More)
Optimal performance of controllers and control loops is crucial for process economy, quality and safety in chemical plants. Industrial statistics show that often a significant percentage of them are performing sub-optimally at any given time. Effective real-time monitoring of control loops is a difficult task as there may be dozens of loops to monitor in a typical process. In addition, abnormal or suboptimal performance is often not apparent under cursory inspection. Hence, automated approaches for the real-time monitoring of control loop performance is of considerable insterest. In this paper, we propose an automated qualitative shape analysis (QSA) formalism for detecting and diagnosing different kinds of oscillations in control loops. We extend our earlier QSA methodology to make it more robust by developing an algorithm for automatic identification of the appropriate global time-scales. We demonstrate this formalism on three case studies to detect and diagnose control loop oscillations. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Engineering Applications of Artificial Intelligence
volume
14
issue
1
pages
23 - 33
publisher
Engineering Applications of Artificial Intelligence
external identifiers
  • scopus:0342903324
ISSN
1873-6769
DOI
10.1016/S0952-1976(00)00051-8
language
English
LU publication?
yes
id
fc724fba-121d-408b-9214-f76ad28d9adb (old id 162819)
date added to LUP
2007-07-10 09:06:04
date last changed
2018-04-08 03:44:15
@article{fc724fba-121d-408b-9214-f76ad28d9adb,
  abstract     = {Optimal performance of controllers and control loops is crucial for process economy, quality and safety in chemical plants. Industrial statistics show that often a significant percentage of them are performing sub-optimally at any given time. Effective real-time monitoring of control loops is a difficult task as there may be dozens of loops to monitor in a typical process. In addition, abnormal or suboptimal performance is often not apparent under cursory inspection. Hence, automated approaches for the real-time monitoring of control loop performance is of considerable insterest. In this paper, we propose an automated qualitative shape analysis (QSA) formalism for detecting and diagnosing different kinds of oscillations in control loops. We extend our earlier QSA methodology to make it more robust by developing an algorithm for automatic identification of the appropriate global time-scales. We demonstrate this formalism on three case studies to detect and diagnose control loop oscillations.},
  author       = {Rengaswamy, R and Hägglund, Tore and Venkatasubramanian, V.},
  issn         = {1873-6769},
  language     = {eng},
  number       = {1},
  pages        = {23--33},
  publisher    = {Engineering Applications of Artificial Intelligence},
  series       = {Engineering Applications of Artificial Intelligence},
  title        = {A qualitative shape analysis formalism for monitoring, control loop performance},
  url          = {http://dx.doi.org/10.1016/S0952-1976(00)00051-8},
  volume       = {14},
  year         = {2001},
}