On an application of extended kalman filtering to activated sludge processes: a benchmark study

F. Benazzi, U. Jeppsson, M.R. Katebi

Research output: Contribution to conferencePaper

Abstract

The growing demand for performance improvements of urban wastewater system operation coupled with the lack of instrumentation in most wastewater treatment plants motivates the need for non-linear observers to be used as virtual sensors for estimation and control of effluent quality. This paper is focused on the development of a general procedure for on-line monitoring of activated sludge processes, using an extended Kalman filter (EKF) approach.
The Activated Sludge Model no.1 (ASM1) is selected to describe the biological processes in the reactor. On-line measurements are corrupted by additive white noise and unknown inputs are modelled using fast Fourier transform (FFT) and spectrum analyses. The given procedure aims at reducing the original ASM1 model to an observable and identifiable model, which can be used for joint non-linear state and parameter estimations. Simulation results are presented to demonstrate the effectiveness of the proposed methods and show that on-line
monitoring of SND and XND concentrations is achieved when dynamic input data are used tocharacterize the influent wastewater for the model.

Conference

Conference10th International Conference on Urban Drainage
CountryDenmark
CityCopenhagen
Period21/08/0526/08/05

Fingerprint

activated sludge
white noise
Kalman filter
biological processes
Fourier transform
instrumentation
effluent
sensor
wastewater
monitoring
simulation

Keywords

  • activated sludge
  • extended kalman filter
  • observability
  • software sensor
  • wastewater treatment

Cite this

Benazzi, F., Jeppsson, U., & Katebi, M. R. (2005). On an application of extended kalman filtering to activated sludge processes: a benchmark study. Paper presented at 10th International Conference on Urban Drainage, Copenhagen, Denmark.
Benazzi, F. ; Jeppsson, U. ; Katebi, M.R. / On an application of extended kalman filtering to activated sludge processes: a benchmark study. Paper presented at 10th International Conference on Urban Drainage, Copenhagen, Denmark.8 p.
@conference{9536cce2fdaa41a0aef4da99b703bc89,
title = "On an application of extended kalman filtering to activated sludge processes: a benchmark study",
abstract = "The growing demand for performance improvements of urban wastewater system operation coupled with the lack of instrumentation in most wastewater treatment plants motivates the need for non-linear observers to be used as virtual sensors for estimation and control of effluent quality. This paper is focused on the development of a general procedure for on-line monitoring of activated sludge processes, using an extended Kalman filter (EKF) approach. The Activated Sludge Model no.1 (ASM1) is selected to describe the biological processes in the reactor. On-line measurements are corrupted by additive white noise and unknown inputs are modelled using fast Fourier transform (FFT) and spectrum analyses. The given procedure aims at reducing the original ASM1 model to an observable and identifiable model, which can be used for joint non-linear state and parameter estimations. Simulation results are presented to demonstrate the effectiveness of the proposed methods and show that on-line monitoring of SND and XND concentrations is achieved when dynamic input data are used tocharacterize the influent wastewater for the model.",
keywords = "activated sludge, extended kalman filter, observability, software sensor, wastewater treatment",
author = "F. Benazzi and U. Jeppsson and M.R. Katebi",
year = "2005",
language = "English",
note = "10th International Conference on Urban Drainage ; Conference date: 21-08-2005 Through 26-08-2005",

}

Benazzi, F, Jeppsson, U & Katebi, MR 2005, 'On an application of extended kalman filtering to activated sludge processes: a benchmark study' Paper presented at 10th International Conference on Urban Drainage, Copenhagen, Denmark, 21/08/05 - 26/08/05, .

On an application of extended kalman filtering to activated sludge processes: a benchmark study. / Benazzi, F.; Jeppsson, U.; Katebi, M.R.

2005. Paper presented at 10th International Conference on Urban Drainage, Copenhagen, Denmark.

Research output: Contribution to conferencePaper

TY - CONF

T1 - On an application of extended kalman filtering to activated sludge processes: a benchmark study

AU - Benazzi, F.

AU - Jeppsson, U.

AU - Katebi, M.R.

PY - 2005

Y1 - 2005

N2 - The growing demand for performance improvements of urban wastewater system operation coupled with the lack of instrumentation in most wastewater treatment plants motivates the need for non-linear observers to be used as virtual sensors for estimation and control of effluent quality. This paper is focused on the development of a general procedure for on-line monitoring of activated sludge processes, using an extended Kalman filter (EKF) approach. The Activated Sludge Model no.1 (ASM1) is selected to describe the biological processes in the reactor. On-line measurements are corrupted by additive white noise and unknown inputs are modelled using fast Fourier transform (FFT) and spectrum analyses. The given procedure aims at reducing the original ASM1 model to an observable and identifiable model, which can be used for joint non-linear state and parameter estimations. Simulation results are presented to demonstrate the effectiveness of the proposed methods and show that on-line monitoring of SND and XND concentrations is achieved when dynamic input data are used tocharacterize the influent wastewater for the model.

AB - The growing demand for performance improvements of urban wastewater system operation coupled with the lack of instrumentation in most wastewater treatment plants motivates the need for non-linear observers to be used as virtual sensors for estimation and control of effluent quality. This paper is focused on the development of a general procedure for on-line monitoring of activated sludge processes, using an extended Kalman filter (EKF) approach. The Activated Sludge Model no.1 (ASM1) is selected to describe the biological processes in the reactor. On-line measurements are corrupted by additive white noise and unknown inputs are modelled using fast Fourier transform (FFT) and spectrum analyses. The given procedure aims at reducing the original ASM1 model to an observable and identifiable model, which can be used for joint non-linear state and parameter estimations. Simulation results are presented to demonstrate the effectiveness of the proposed methods and show that on-line monitoring of SND and XND concentrations is achieved when dynamic input data are used tocharacterize the influent wastewater for the model.

KW - activated sludge

KW - extended kalman filter

KW - observability

KW - software sensor

KW - wastewater treatment

M3 - Paper

ER -

Benazzi F, Jeppsson U, Katebi MR. On an application of extended kalman filtering to activated sludge processes: a benchmark study. 2005. Paper presented at 10th International Conference on Urban Drainage, Copenhagen, Denmark.