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
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: |
|
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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