Non-linear observability of activated sludge process models

F. Benazzi, M.R. Katebi

Research output: Contribution to conferencePaper

Abstract

The main contribution of this paper is to present a non-linear observability
analysis method of Activated Sludge Models (ASM), which are used in many control
applications. The objective is to reduce the unobservable ASM1 model to an observable one that can be used to implement advanced estimation algorithms. Local observability is achieved under certain operating conditions but failed at some points in the whole domain of definition. Furthermore, piece-wise observability rank test is also performed with three measurements and compared with non-linear observability. Simulation results are presented to demonstrate the proposed method. Copyright © 2005 IFAC
LanguageEnglish
Number of pages6
Publication statusPublished - 2005

Fingerprint

Activated sludge process
Observability

Keywords

  • observability
  • observers
  • process control
  • simulation
  • waste treatment

Cite this

@conference{28e94f77ccb24d28b18ca30447553f10,
title = "Non-linear observability of activated sludge process models",
abstract = "The main contribution of this paper is to present a non-linear observability analysis method of Activated Sludge Models (ASM), which are used in many control applications. The objective is to reduce the unobservable ASM1 model to an observable one that can be used to implement advanced estimation algorithms. Local observability is achieved under certain operating conditions but failed at some points in the whole domain of definition. Furthermore, piece-wise observability rank test is also performed with three measurements and compared with non-linear observability. Simulation results are presented to demonstrate the proposed method. Copyright {\circledC} 2005 IFAC",
keywords = "observability, observers , process control, simulation, waste treatment",
author = "F. Benazzi and M.R. Katebi",
year = "2005",
language = "English",

}

Non-linear observability of activated sludge process models. / Benazzi, F.; Katebi, M.R.

2005.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Non-linear observability of activated sludge process models

AU - Benazzi, F.

AU - Katebi, M.R.

PY - 2005

Y1 - 2005

N2 - The main contribution of this paper is to present a non-linear observability analysis method of Activated Sludge Models (ASM), which are used in many control applications. The objective is to reduce the unobservable ASM1 model to an observable one that can be used to implement advanced estimation algorithms. Local observability is achieved under certain operating conditions but failed at some points in the whole domain of definition. Furthermore, piece-wise observability rank test is also performed with three measurements and compared with non-linear observability. Simulation results are presented to demonstrate the proposed method. Copyright © 2005 IFAC

AB - The main contribution of this paper is to present a non-linear observability analysis method of Activated Sludge Models (ASM), which are used in many control applications. The objective is to reduce the unobservable ASM1 model to an observable one that can be used to implement advanced estimation algorithms. Local observability is achieved under certain operating conditions but failed at some points in the whole domain of definition. Furthermore, piece-wise observability rank test is also performed with three measurements and compared with non-linear observability. Simulation results are presented to demonstrate the proposed method. Copyright © 2005 IFAC

KW - observability

KW - observers

KW - process control

KW - simulation

KW - waste treatment

M3 - Paper

ER -