Khadir, Mohamed Tarek and Ringwood, John (2003) Linear and Nonlinear Model Predictive Control design for a Milk Pasteurisation Plant. Control and Intelligent Systems, 31 (1). ISSN 1480-1752

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Abstract

This article investigates the design of linear and nonlinear model predictive controllers (MPCs) in order to improve the control of pasteurization temperature in a milk plant. MPC schemes required the development of a prediction model for use internally within the controller. An artificial neural network (ANN) model of the plant is established and validated. A linearized model is then obtained around the operating point from the ANN model. The linearized and the ANN models are used for prediction for the linear and nonlinear predictive controllers, respectively. The MPC responses are compared with a benchmark PID controller behaviour, the parameters of which have been tuned to minimize the same criteria as used for the predictive controllers.

Item Type:	Article
Keywords:	Milk pasteurization; nonlinear modelling; model predictive control; artificial neural networks;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	6905
Depositing User:	Professor John Ringwood
Date Deposited:	21 Jan 2016 11:29
Journal or Publication Title:	Control and Intelligent Systems
Publisher:	ACTA Press
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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