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Implementation of neural-network-based inverse-model control strategies on an exothermic reactor

In recent years there has been a significant increase in the number of control system techniques that are based on nonlinear concepts. One such method is the nonlinear inverse-model based control strategy. This method is however highly dependent on the availability of the inverse of the system model...

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Main Authors: Hussain, Mohd Azlan, Kittisupakorn, Paisan, Daosu, Wachira
Format: Article
Language:English
Published: Science Society of Thailand 2001
Subjects:
TA Engineering (General). Civil engineering (General)
TP Chemical technology
Online Access:http://eprints.um.edu.my/7081/1/Implementation_of_neural-network-based_inverse-model_control_strategies_on_an_exothermic_reactor.pdf
http://eprints.um.edu.my/7081/
http://scienceasia.org/2001.27.n1/v27_041_050.pdf
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spelling my.um.eprints.70812021-02-10T03:08:57Z http://eprints.um.edu.my/7081/ Implementation of neural-network-based inverse-model control strategies on an exothermic reactor Hussain, Mohd Azlan Kittisupakorn, Paisan Daosu, Wachira TA Engineering (General). Civil engineering (General) TP Chemical technology In recent years there has been a significant increase in the number of control system techniques that are based on nonlinear concepts. One such method is the nonlinear inverse-model based control strategy. This method is however highly dependent on the availability of the inverse of the system model under control, which are normally difficult to obtain analytically for nonlinear systems. Since neural networks have the ability to model many nonlinear systems including their inverses, their use in this control scheme is highly promising. In this work, we investigate the use of these neural-network-based inverse model control strategy to control an exothermic reactor. The use of the specialised method of training the inverse neural network model is demonstrated. The utilization of two different inverse-model schemes namely the direct inverse control and the internal-model control methods are shown for both set point and disturbance rejection cases. The overall results for set point tracking are good in both control strategies but the direct inverse control method had limitations when dealing with disturbances. Other important aspects relating to the use of neural networks for identification and controls are also discussed in this paper. Science Society of Thailand 2001 Article PeerReviewed application/pdf en http://eprints.um.edu.my/7081/1/Implementation_of_neural-network-based_inverse-model_control_strategies_on_an_exothermic_reactor.pdf Hussain, Mohd Azlan and Kittisupakorn, Paisan and Daosu, Wachira (2001) Implementation of neural-network-based inverse-model control strategies on an exothermic reactor. Science Asia, 27. pp. 41-50. ISSN 1513-1874 http://scienceasia.org/2001.27.n1/v27_041_050.pdf
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
TP Chemical technology
spellingShingle TA Engineering (General). Civil engineering (General)
TP Chemical technology
Hussain, Mohd Azlan
Kittisupakorn, Paisan
Daosu, Wachira
Implementation of neural-network-based inverse-model control strategies on an exothermic reactor
description In recent years there has been a significant increase in the number of control system techniques that are based on nonlinear concepts. One such method is the nonlinear inverse-model based control strategy. This method is however highly dependent on the availability of the inverse of the system model under control, which are normally difficult to obtain analytically for nonlinear systems. Since neural networks have the ability to model many nonlinear systems including their inverses, their use in this control scheme is highly promising. In this work, we investigate the use of these neural-network-based inverse model control strategy to control an exothermic reactor. The use of the specialised method of training the inverse neural network model is demonstrated. The utilization of two different inverse-model schemes namely the direct inverse control and the internal-model control methods are shown for both set point and disturbance rejection cases. The overall results for set point tracking are good in both control strategies but the direct inverse control method had limitations when dealing with disturbances. Other important aspects relating to the use of neural networks for identification and controls are also discussed in this paper.
format Article
author Hussain, Mohd Azlan
Kittisupakorn, Paisan
Daosu, Wachira
author_facet Hussain, Mohd Azlan
Kittisupakorn, Paisan
Daosu, Wachira
author_sort Hussain, Mohd Azlan
title Implementation of neural-network-based inverse-model control strategies on an exothermic reactor
title_short Implementation of neural-network-based inverse-model control strategies on an exothermic reactor
title_full Implementation of neural-network-based inverse-model control strategies on an exothermic reactor
title_fullStr Implementation of neural-network-based inverse-model control strategies on an exothermic reactor
title_full_unstemmed Implementation of neural-network-based inverse-model control strategies on an exothermic reactor
title_sort implementation of neural-network-based inverse-model control strategies on an exothermic reactor
publisher Science Society of Thailand
publishDate 2001
url http://eprints.um.edu.my/7081/1/Implementation_of_neural-network-based_inverse-model_control_strategies_on_an_exothermic_reactor.pdf
http://eprints.um.edu.my/7081/
http://scienceasia.org/2001.27.n1/v27_041_050.pdf
_version_ 1691733423431876608
score 13.211869

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