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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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第一著者: Mashayekhi, Reza
フォーマット: 学位論文
言語:English
出版事項: 2011
主題:
TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:http://eprints.utm.my/id/eprint/33378/5/RezaMashayekhiMFKE2011.pdf
http://eprints.utm.my/id/eprint/33378/
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spelling my.utm.333782018-05-27T08:05:59Z http://eprints.utm.my/id/eprint/33378/ Multivariable identification of an activated sludge process with subspace based algorithms 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/33378/5/RezaMashayekhiMFKE2011.pdf Mashayekhi, Reza (2011) Multivariable identification of an activated sludge process with subspace based algorithms. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:67993?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2011
url http://eprints.utm.my/id/eprint/33378/5/RezaMashayekhiMFKE2011.pdf
http://eprints.utm.my/id/eprint/33378/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:67993?site_name=Restricted Repository
_version_ 1643649313125957632
score 13.251813

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