Multiple model predictive control of nonlinear pH neutralization system

Citation

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).

Abstract

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/IEEM.2010.5674469
Publisher:	IEEE
Keywords:	Model predictive control; Multiple models; pH control
Depositing User:	Nabilah Mustapa
Date Deposited:	08 Jul 2019 02:02
Last Modified:	08 Jul 2019 02:02
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/IEEM.2010.5674469
URI:	http://psasir.upm.edu.my/id/eprint/69604
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