Reduced Order Models for On-Line Parameter Identification of the Activated Sludge Process
(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:
https://lup.lub.lu.se/record/4354821
- author
- Jeppsson, Ulf LU and Olsson, Gustaf LU
- organization
- publishing date
- 1993
- 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
- 2016-04-04 09:19:30
- date last changed
- 2021-02-28 06:32:09
@article{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}}, keywords = {{extended Kalman filtering.; model calibration; model reduction; parameter estimation; simulation; Activated sludge; dynamic modelling}}, language = {{eng}}, number = {{11-12}}, pages = {{173--183}}, publisher = {{IWA Publishing}}, series = {{Water Science and Technology}}, title = {{Reduced Order Models for On-Line Parameter Identification of the Activated Sludge Process}}, url = {{http://www.iwaponline.com/wst/02811/0173/wst028110173.pdf}}, volume = {{28}}, year = {{1993}}, }