Multiple model predictive control of nonlinear pH neutralization system

In this paper the control of nonlinear systems using linear models is studied. The control strategy utilizes a piecewise linear description of the process, considered the model bank. The model bank is then combined at each sampling interval, through the application of a Bayesian weight calculator, t...

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Main Authors: Hermansson, Ayman William, Syam, Syafiie, Mohd Noor, Samsul Bahari
Format: Conference or Workshop Item
Language:English
Published: IEEE 2010
Online Access:http://psasir.upm.edu.my/id/eprint/69604/
http://psasir.upm.edu.my/id/eprint/69604/1/Multiple%20model%20predictive%20control%20of%20nonlinear%20pH%20neutralization%20system.pdf
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author Hermansson, Ayman William
Syam, Syafiie
Mohd Noor, Samsul Bahari
author_facet Hermansson, Ayman William
Syam, Syafiie
Mohd Noor, Samsul Bahari
author_sort Hermansson, Ayman William
building UPM Institutional Repository
collection Online Access
description In this paper the control of nonlinear systems using linear models is studied. The control strategy utilizes a piecewise linear description of the process, considered the model bank. The model bank is then combined at each sampling interval, through the application of a Bayesian weight calculator, to render a single linear model describing the system. The linear model is used in a model predictive control (MPC) setting to render the optimal control move. The performance of the setup is simulated for a pH neutralization process, which demonstrates a good following of setpoint changes and quick reduction of oscillations.
first_indexed 2025-11-15T11:41:55Z
format Conference or Workshop Item
id upm-69604
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T11:41:55Z
publishDate 2010
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-696042019-07-08T02:02:21Z http://psasir.upm.edu.my/id/eprint/69604/ Multiple model predictive control of nonlinear pH neutralization system Hermansson, Ayman William Syam, Syafiie Mohd Noor, Samsul Bahari In this paper the control of nonlinear systems using linear models is studied. The control strategy utilizes a piecewise linear description of the process, considered the model bank. The model bank is then combined at each sampling interval, through the application of a Bayesian weight calculator, to render a single linear model describing the system. The linear model is used in a model predictive control (MPC) setting to render the optimal control move. The performance of the setup is simulated for a pH neutralization process, which demonstrates a good following of setpoint changes and quick reduction of oscillations. IEEE 2010 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69604/1/Multiple%20model%20predictive%20control%20of%20nonlinear%20pH%20neutralization%20system.pdf Hermansson, Ayman William and Syam, Syafiie and Mohd Noor, Samsul Bahari (2010) Multiple model predictive control of nonlinear pH neutralization system. In: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2010), 7-10 Dec. 2010, Macao, China. (pp. 301-304). 10.1109/IEEM.2010.5674469
spellingShingle Hermansson, Ayman William
Syam, Syafiie
Mohd Noor, Samsul Bahari
Multiple model predictive control of nonlinear pH neutralization system
title Multiple model predictive control of nonlinear pH neutralization system
title_full Multiple model predictive control of nonlinear pH neutralization system
title_fullStr Multiple model predictive control of nonlinear pH neutralization system
title_full_unstemmed Multiple model predictive control of nonlinear pH neutralization system
title_short Multiple model predictive control of nonlinear pH neutralization system
title_sort multiple model predictive control of nonlinear ph neutralization system
url http://psasir.upm.edu.my/id/eprint/69604/
http://psasir.upm.edu.my/id/eprint/69604/
http://psasir.upm.edu.my/id/eprint/69604/1/Multiple%20model%20predictive%20control%20of%20nonlinear%20pH%20neutralization%20system.pdf