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Comparison of different methods for identification of industrial processes

Gustavsson, Ivar (1972) In Automatica 8(2). p.127-142
Abstract
Plants have been modelled using different identification methods. Some results from the identification of the dynamics of a nuclear reactor, a distillation column, a superheater and a paper machine are presented. Models for the different processes, obtained by the maximum likelihood method, are compared to models, obtained by other identification methods: the least squares method, the tally principle method, correlation analysis, and spectral analysis. Comparisons are made between the model parameters, and between the transient and frequency responses of the different models. It is pointed out that such comparisons may not be relevant for the performance of control strategies, synthesized from the models. However, the comparisons give... (More)
Plants have been modelled using different identification methods. Some results from the identification of the dynamics of a nuclear reactor, a distillation column, a superheater and a paper machine are presented. Models for the different processes, obtained by the maximum likelihood method, are compared to models, obtained by other identification methods: the least squares method, the tally principle method, correlation analysis, and spectral analysis. Comparisons are made between the model parameters, and between the transient and frequency responses of the different models. It is pointed out that such comparisons may not be relevant for the performance of control strategies, synthesized from the models. However, the comparisons give insight into the properties of different identification methods. The problem of choosing model order for parametric identification methods is discussed. Simulations have also been used in order to compare the performance of the methods on data from known processes. The maximum likelihood method turns out to be superior, especially for low signal to noise ratios. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Automatica
volume
8
issue
2
pages
127 - 142
publisher
Pergamon
external identifiers
  • scopus:0002715477
ISSN
0005-1098
DOI
10.1016/0005-1098(72)90061-1
language
English
LU publication?
no
id
f0b18d10-5d93-4ddb-99de-8633b566efca
date added to LUP
2018-12-10 09:10:37
date last changed
2020-01-13 01:16:11
@article{f0b18d10-5d93-4ddb-99de-8633b566efca,
  abstract     = {Plants have been modelled using different identification methods. Some results from the identification of the dynamics of a nuclear reactor, a distillation column, a superheater and a paper machine are presented. Models for the different processes, obtained by the maximum likelihood method, are compared to models, obtained by other identification methods: the least squares method, the tally principle method, correlation analysis, and spectral analysis. Comparisons are made between the model parameters, and between the transient and frequency responses of the different models. It is pointed out that such comparisons may not be relevant for the performance of control strategies, synthesized from the models. However, the comparisons give insight into the properties of different identification methods. The problem of choosing model order for parametric identification methods is discussed. Simulations have also been used in order to compare the performance of the methods on data from known processes. The maximum likelihood method turns out to be superior, especially for low signal to noise ratios.},
  author       = {Gustavsson, Ivar},
  issn         = {0005-1098},
  language     = {eng},
  number       = {2},
  pages        = {127--142},
  publisher    = {Pergamon},
  series       = {Automatica},
  title        = {Comparison of different methods for identification of industrial processes},
  url          = {http://dx.doi.org/10.1016/0005-1098(72)90061-1},
  doi          = {10.1016/0005-1098(72)90061-1},
  volume       = {8},
  year         = {1972},
}