Multivariable identification of an activated sludge process with subspace based algorithms

The objectives of this project are to identify a linear time-invariant dynamical model of an activated sludge process. Such a system is characterized by stiff dynamics, nonlinearities, time-variant parameters, recycles, multivariable with many cross-couplings and wide variations in the inflow and th...

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Main Author:	Mashayekhi, Reza
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/33378/5/RezaMashayekhiMFKE2011.pdf
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id	my-utm-ep.33378
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spelling	my-utm-ep.333782018-05-27T08:05:59Z Multivariable identification of an activated sludge process with subspace based algorithms 2011-05 Mashayekhi, Reza TK Electrical engineering. Electronics Nuclear engineering The objectives of this project are to identify a linear time-invariant dynamical model of an activated sludge process. Such a system is characterized by stiff dynamics, nonlinearities, time-variant parameters, recycles, multivariable with many cross-couplings and wide variations in the inflow and the composition of the incoming wastewater. In this project study, an identification approach based on subspace methods is applied in order to estimate a nominal MIMO state space model around a given operating point, by probing the system in open-loop with multi-level random signals (MRBS). Three subspace algorithms are used, and their performances are compared based on adequate quality criteria, taking into account identification/validation data. As a result, the selected model is a very low-order one, and it describes the complex dynamics of the process well. Important issues concerning the generation of the data set and the estimation of the model order is discussed. 2011-05 Thesis http://eprints.utm.my/id/eprint/33378/ http://eprints.utm.my/id/eprint/33378/5/RezaMashayekhiMFKE2011.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:67993?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Mashayekhi, Reza Multivariable identification of an activated sludge process with subspace based algorithms
description	The objectives of this project are to identify a linear time-invariant dynamical model of an activated sludge process. Such a system is characterized by stiff dynamics, nonlinearities, time-variant parameters, recycles, multivariable with many cross-couplings and wide variations in the inflow and the composition of the incoming wastewater. In this project study, an identification approach based on subspace methods is applied in order to estimate a nominal MIMO state space model around a given operating point, by probing the system in open-loop with multi-level random signals (MRBS). Three subspace algorithms are used, and their performances are compared based on adequate quality criteria, taking into account identification/validation data. As a result, the selected model is a very low-order one, and it describes the complex dynamics of the process well. Important issues concerning the generation of the data set and the estimation of the model order is discussed.
format	Thesis
qualification_level	Master's degree
author	Mashayekhi, Reza
author_facet	Mashayekhi, Reza
author_sort	Mashayekhi, Reza
title	Multivariable identification of an activated sludge process with subspace based algorithms
title_short	Multivariable identification of an activated sludge process with subspace based algorithms
title_full	Multivariable identification of an activated sludge process with subspace based algorithms
title_fullStr	Multivariable identification of an activated sludge process with subspace based algorithms
title_full_unstemmed	Multivariable identification of an activated sludge process with subspace based algorithms
title_sort	multivariable identification of an activated sludge process with subspace based algorithms
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2011
url	http://eprints.utm.my/id/eprint/33378/5/RezaMashayekhiMFKE2011.pdf
_version_	1747816146684346368

Multivariable identification of an activated sludge process with subspace based algorithms

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