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A control performance monitor and a ...
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Li, Qing.
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A control performance monitor and a model performance monitor for process controllers.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A control performance monitor and a model performance monitor for process controllers./
作者:
Li, Qing.
面頁冊數:
122 p.
附註:
Source: Dissertation Abstracts International, Volume: 63-06, Section: B, page: 2925.
Contained By:
Dissertation Abstracts International63-06B.
標題:
Engineering, Chemical. -
電子資源:
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.
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Source: Dissertation Abstracts International, Volume: 63-06, Section: B, page: 2925.
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Thesis (Ph.D.)--Oklahoma State University, 2002.
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<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.
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<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.
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