Modeling and control of pH neutralization using neural network predictive controller

The difficulty of controlling pH neutralization processes resides in the non-linearity of such processes. This behavior is due to the logarithmic relationship between the hydrogen ions concentrations [H<sup>+</sup>] and the level of pH. The control strategy to be developed very much depe...

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Main Authors: S.B., Hisham, M.G.M.K., Elarafi
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/421/
http://scholars.utp.edu.my/id/eprint/421/1/paper.pdf
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author S.B., Hisham
M.G.M.K., Elarafi
author_facet S.B., Hisham
M.G.M.K., Elarafi
author_sort S.B., Hisham
building UTP Institutional Repository
collection Online Access
description The difficulty of controlling pH neutralization processes resides in the non-linearity of such processes. This behavior is due to the logarithmic relationship between the hydrogen ions concentrations [H<sup>+</sup>] and the level of pH. The control strategy to be developed very much depends on the feasibility of the mathematical model that represents the process. This paper illustrates feasible modeling of the pH neutralization plant using empirical techniques and investigates the performance of an artificial neural network predictive controller against the more traditional PID controllers. As a conclusion, a feasible empirical model was found closest to a second-order with dead time. The artificial neural network predictive controller has outperformed the conventional PI / PID controllers.
first_indexed 2025-11-13T07:23:10Z
format Conference or Workshop Item
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institution Universiti Teknologi Petronas
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language English
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spelling oai:scholars.utp.edu.my:4212017-01-19T08:26:43Z http://scholars.utp.edu.my/id/eprint/421/ Modeling and control of pH neutralization using neural network predictive controller S.B., Hisham M.G.M.K., Elarafi TK Electrical engineering. Electronics Nuclear engineering The difficulty of controlling pH neutralization processes resides in the non-linearity of such processes. This behavior is due to the logarithmic relationship between the hydrogen ions concentrations [H<sup>+</sup>] and the level of pH. The control strategy to be developed very much depends on the feasibility of the mathematical model that represents the process. This paper illustrates feasible modeling of the pH neutralization plant using empirical techniques and investigates the performance of an artificial neural network predictive controller against the more traditional PID controllers. As a conclusion, a feasible empirical model was found closest to a second-order with dead time. The artificial neural network predictive controller has outperformed the conventional PI / PID controllers. 2008 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/421/1/paper.pdf S.B., Hisham and M.G.M.K., Elarafi (2008) Modeling and control of pH neutralization using neural network predictive controller. In: 2008 International Conference on Control, Automation and Systems, ICCAS 2008, 14 October 2008 through 17 October 2008, Seoul. http://www.scopus.com/inward/record.url?eid=2-s2.0-58149099970&partnerID=40&md5=83d2153953dd347a6d3e34265a8fff74
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
S.B., Hisham
M.G.M.K., Elarafi
Modeling and control of pH neutralization using neural network predictive controller
title Modeling and control of pH neutralization using neural network predictive controller
title_full Modeling and control of pH neutralization using neural network predictive controller
title_fullStr Modeling and control of pH neutralization using neural network predictive controller
title_full_unstemmed Modeling and control of pH neutralization using neural network predictive controller
title_short Modeling and control of pH neutralization using neural network predictive controller
title_sort modeling and control of ph neutralization using neural network predictive controller
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/421/
http://scholars.utp.edu.my/id/eprint/421/
http://scholars.utp.edu.my/id/eprint/421/1/paper.pdf