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A control performance monitor and a ...

Li, Qing.

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A control performance monitor and a model performance monitor for process controllers.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A control performance monitor and a model performance monitor for process controllers./
Author:	Li, Qing.
Description:	122 p.
Notes:	Source: Dissertation Abstracts International, Volume: 63-06, Section: B, page: 2925.
Contained By:	Dissertation Abstracts International63-06B.
Subject:	Engineering, Chemical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3057287
ISBN:	0493726322

A control performance monitor and a model performance monitor for process controllers.
Li, Qing.

A control performance monitor and a model performance monitor for process controllers. - 122 p.

Source: Dissertation Abstracts International, Volume: 63-06, Section: B, page: 2925.

Thesis (Ph.D.)--Oklahoma State University, 2002.

<italic>Scope and method of study.</italic> A control performance monitor and a model performance monitor for process controllers are developed. The control performance monitor automatically detects poor control performance. It compares the distribution of a performance index, called run length RL, to a reference RL distribution built from the data collected during a good control period. A statistical chi-square test is performed on the differences of the two RL distributions. It uses routine plant operation data only. The model performance monitor automatically detects a poor process model for a process model-based controller. It suggests model adjustment only when a statistical F test indicates that the benefit of model adjustment, i.e., the improvement in performance of the model-based controller, is significant. The process model is judged by its function, i.e., the performance of the model-based controller, not by the accuracy of model prediction. A reference performance system is constructed from the closed-loop step response to a setpoint change of the control system consisting of the initial well-tuned controller and the initial plant. A performance index, the variance ratio R<sub>V</sub> of the controlled variables of the current control system and the reference performance system, is proposed. Both monitors are evaluated by experiments on a water flow control loop and an air flow control loop and simulations.

ISBN: 0493726322Subjects--Topical Terms:

1018531
Engineering, Chemical.

A control performance monitor and a model performance monitor for process controllers.
LDR:02938nmm 2200289 4500 001 1853103
005 20040407102507.5
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020 $a 0493726322
035 $a (UnM)AAI3057287
035 $a AAI3057287
040 $a UnM $c UnM
100 1 $a Li, Qing. $3 1002991
245 1 0 $a A control performance monitor and a model performance monitor for process controllers.
300 $a 122 p.
500 $a Source: Dissertation Abstracts International, Volume: 63-06, Section: B, page: 2925.
500 $a Adviser: James R. Whiteley.
502 $a Thesis (Ph.D.)--Oklahoma State University, 2002.
520 $a <italic>Scope and method of study.</italic> A control performance monitor and a model performance monitor for process controllers are developed. The control performance monitor automatically detects poor control performance. It compares the distribution of a performance index, called run length RL, to a reference RL distribution built from the data collected during a good control period. A statistical chi-square test is performed on the differences of the two RL distributions. It uses routine plant operation data only. The model performance monitor automatically detects a poor process model for a process model-based controller. It suggests model adjustment only when a statistical F test indicates that the benefit of model adjustment, i.e., the improvement in performance of the model-based controller, is significant. The process model is judged by its function, i.e., the performance of the model-based controller, not by the accuracy of model prediction. A reference performance system is constructed from the closed-loop step response to a setpoint change of the control system consisting of the initial well-tuned controller and the initial plant. A performance index, the variance ratio R<sub>V</sub> of the controlled variables of the current control system and the reference performance system, is proposed. Both monitors are evaluated by experiments on a water flow control loop and an air flow control loop and simulations.
520 $a <italic>Findings and conclusions.</italic> Experiments and simulations show that the control performance monitor can detect poor control performance, such as, oscillations, too aggressive or too sluggish responses to disturbances or setpoint changes, and hitting a constraint, and the model performance monitor can flag a poor process model for a process model-based controller due to plant changes. The model performance monitor does not flag a poor process model when the process is at steady state. Both monitors are simple to use, and are non-invasive to plant operations.
590 $a School code: 0664.
650 4 $a Engineering, Chemical. $3 1018531
650 4 $a Engineering, Industrial. $3 626639
690 $a 0542
690 $a 0546
710 2 0 $a Oklahoma State University. $3 626630
773 0 $t Dissertation Abstracts International $g 63-06B.
790 1 0 $a Whiteley, James R., $e advisor
790 $a 0664
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3057287