Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor

The goal of this paper is to compare two identification methods – continuous-time and discrete-time. The continuous-time identification model is more accurate but not very suitable for on-line identification. This disadvantage was overcome with the use of differential filters. On the other hand, dis...

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Main Authors: Vojtesek Jiri, Dostal Petr
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20167601005
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author Vojtesek Jiri
Dostal Petr
author_facet Vojtesek Jiri
Dostal Petr
author_sort Vojtesek Jiri
collection DOAJ
description The goal of this paper is to compare two identification methods – continuous-time and discrete-time. The continuous-time identification model is more accurate but not very suitable for on-line identification. This disadvantage was overcome with the use of differential filters. On the other hand, discrete-time identification model has is more suitable for identification but less accurate. Compromise can be found in the delta model as a special type of the discrete-time model parameters of which are related to the sampling period. The adaptive approach is based on the choice of the External Linear Model, parameters of which are identified recursively which satisfies the adaptivity of this system. Proposed control strategy was applied on the mathematical model of the Continuous Stirred-Tank reactor as a typical nonlinear lumped-parameters system used in the industry.
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spelling doaj.art-23631f0903a44342a8d6bb390a24d3792022-12-21T21:33:38ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01760100510.1051/matecconf/20167601005matecconf_cscc2016_01005Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank ReactorVojtesek JiriDostal PetrThe goal of this paper is to compare two identification methods – continuous-time and discrete-time. The continuous-time identification model is more accurate but not very suitable for on-line identification. This disadvantage was overcome with the use of differential filters. On the other hand, discrete-time identification model has is more suitable for identification but less accurate. Compromise can be found in the delta model as a special type of the discrete-time model parameters of which are related to the sampling period. The adaptive approach is based on the choice of the External Linear Model, parameters of which are identified recursively which satisfies the adaptivity of this system. Proposed control strategy was applied on the mathematical model of the Continuous Stirred-Tank reactor as a typical nonlinear lumped-parameters system used in the industry.http://dx.doi.org/10.1051/matecconf/20167601005
spellingShingle Vojtesek Jiri
Dostal Petr
Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor
MATEC Web of Conferences
title Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor
title_full Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor
title_fullStr Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor
title_full_unstemmed Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor
title_short Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor
title_sort comparison of two identification models used in adaptive control of continuous stirred tank reactor
url http://dx.doi.org/10.1051/matecconf/20167601005
work_keys_str_mv AT vojtesekjiri comparisonoftwoidentificationmodelsusedinadaptivecontrolofcontinuousstirredtankreactor
AT dostalpetr comparisonoftwoidentificationmodelsusedinadaptivecontrolofcontinuousstirredtankreactor