MURAL - Maynooth University Research Archive Library

    Linear and Nonlinear Model Predictive Control design for a Milk Pasteurisation Plant

    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

    Download (1MB) | Preview

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    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
    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

    Repository Staff Only(login required)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads