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A framework for extreme-event control in wastewater treatment.

Rosén, Christian LU ; Larsson, M; Jeppsson, Ulf LU and Yuan, Z (2002) In Water Science and Technology 45(4-5). p.299-308
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Water Science and Technology
volume
45
issue
4-5
pages
299 - 308
publisher
IWA Publishing
external identifiers
  • WOS:000174872000037
  • PMID:11936647
  • Scopus:0036204225
ISSN
0273-1223
language
English
LU publication?
yes
id
477e1fd4-106b-4671-bb05-2b08ba86531a (old id 107455)
alternative location
http://www.ncbi.nlm.nih.gov:80/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11936647&dopt=Abstract
date added to LUP
2007-07-03 16:35:56
date last changed
2016-10-30 04:35:42
@misc{477e1fd4-106b-4671-bb05-2b08ba86531a,
  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.},
  author       = {Rosén, Christian and Larsson, M and Jeppsson, Ulf and Yuan, Z},
  issn         = {0273-1223},
  language     = {eng},
  number       = {4-5},
  pages        = {299--308},
  publisher    = {ARRAY(0x8c6ce80)},
  series       = {Water Science and Technology},
  title        = {A framework for extreme-event control in wastewater treatment.},
  volume       = {45},
  year         = {2002},
}