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Reduced Order Models for On-Line Parameter Identification of the Activated Sludge Process

Jeppsson, Ulf LU and Olsson, Gustaf LU (1993) In Water Science and Technology 28(11-12). p.173-183
Abstract
A reduced order dynamic model for an activated sludge process performing carbonaceous removal, nitrification, and denitrification is proposed. Based on directly measurable real time data - by methods available today - all model parameters are identified on-line. A simplified extended Kalman filter is used for the actual identification. Verification of the results is based on computer simulations of the IAWQ Activated Sludge Model No. 1. The reduced order model presented herein may serve as a tool for predicting the dynamic behaviour of a biological wastewater treatment plant since the parameters under varying operating conditions can be tracked on-line. The model parameters are effectively estimated even when the measurements are affected... (More)
A reduced order dynamic model for an activated sludge process performing carbonaceous removal, nitrification, and denitrification is proposed. Based on directly measurable real time data - by methods available today - all model parameters are identified on-line. A simplified extended Kalman filter is used for the actual identification. Verification of the results is based on computer simulations of the IAWQ Activated Sludge Model No. 1. The reduced order model presented herein may serve as a tool for predicting the dynamic behaviour of a biological wastewater treatment plant since the parameters under varying operating conditions can be tracked on-line. The model parameters are effectively estimated even when the measurements are affected by a significant level of noise. The model is aimed for operation and control purposes as an integral part of a hierarchical control structure. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
extended Kalman filtering., model calibration, model reduction, parameter estimation, simulation, Activated sludge, dynamic modelling
in
Water Science and Technology
volume
28
issue
11-12
pages
173 - 183
publisher
IWA Publishing
external identifiers
  • Scopus:0027791334
ISSN
0273-1223
language
English
LU publication?
yes
id
3a9e874b-44f7-4a6f-9e7c-b9c777c31b0a (old id 4354821)
alternative location
http://www.iwaponline.com/wst/02811/0173/wst028110173.pdf
date added to LUP
2014-03-10 11:11:14
date last changed
2016-12-04 04:38:53
@misc{3a9e874b-44f7-4a6f-9e7c-b9c777c31b0a,
  abstract     = {A reduced order dynamic model for an activated sludge process performing carbonaceous removal, nitrification, and denitrification is proposed. Based on directly measurable real time data - by methods available today - all model parameters are identified on-line. A simplified extended Kalman filter is used for the actual identification. Verification of the results is based on computer simulations of the IAWQ Activated Sludge Model No. 1. The reduced order model presented herein may serve as a tool for predicting the dynamic behaviour of a biological wastewater treatment plant since the parameters under varying operating conditions can be tracked on-line. The model parameters are effectively estimated even when the measurements are affected by a significant level of noise. The model is aimed for operation and control purposes as an integral part of a hierarchical control structure.},
  author       = {Jeppsson, Ulf and Olsson, Gustaf},
  issn         = {0273-1223},
  keyword      = {extended Kalman filtering.,model calibration,model reduction,parameter estimation,simulation,Activated sludge,dynamic modelling},
  language     = {eng},
  number       = {11-12},
  pages        = {173--183},
  publisher    = {ARRAY(0x7ac3a68)},
  series       = {Water Science and Technology},
  title        = {Reduced Order Models for On-Line Parameter Identification of the Activated Sludge Process},
  volume       = {28},
  year         = {1993},
}