A framework for extreme-event control in wastewater treatment

Rosen, C., Larsson, M., Jeppsson, U. and Yuan, Z. (2002) A framework for extreme-event control in wastewater treatment. Water Science And Technology, 45 4-5: 299-308.


Author Rosen, C.
Larsson, M.
Jeppsson, U.
Yuan, Z.
Title A framework for extreme-event control in wastewater treatment
Journal name Water Science And Technology   Check publisher's open access policy
ISSN 0273-1223
Publication date 2002
Sub-type Article (original research)
Volume 45
Issue 4-5
Start page 299
End page 308
Total pages 10
Place of publication London
Publisher IWA Publishing
Collection year 2002
Language eng
Subject C1
Abstract In this paper an approach to extreme event control in wastewater treatment plant operation by use of automatic supervisory control is discussed. The framework presented is based on the fact that different operational conditions manifest themselves as clusters in a multivariate measurement space. These clusters are identified and linked to specific and corresponding events by use of principal component analysis and fuzzy c-means clustering. A reduced system model is assigned to each type of extreme event and used to calculate appropriate local controller set points. In earlier work we have shown that this approach is applicable to wastewater treatment control using look-up tables to determine current set points. In this work we focus on the automatic determination of appropriate set points by use of steady state and dynamic predictions. The performance of a relatively simple steady-state supervisory controller is compared with that of a model predictive supervisory controller. Also, a look-up table approach is included in the comparison, as it provides a simple and robust alternative to the steady-state and model predictive controllers, The methodology is illustrated in a simulation study.
Keyword Model Predictive Control
Principal Component Analysis
Supervisory Control
Wastewater
Engineering, Environmental
Environmental Sciences
Water Resources
Model-predictive Control
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
Advanced Water Management Centre Publications
 
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