Khadir, M.T. and Ringwood, John (2014) Higher Order Predictive Functional Control versus dynamical matrix control for a milk pasteurisation process: Transfer function versus finite step response internal models. International Journal of Food Engineering. ISSN 1556-3758

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Abstract

Predictive functional control (PFC), a model pre- dictive control algorithm, has been proven to be very suc- cessful in a wealth of industrial applications due to its many laudable attribute, such as its s implicity and intuitive appeal. For simple single input single output processes, PFC applica- tions use a first-order plus delay internal model and, as long as such models improve the control over classical control strategies, then their use remains justified. In this paper, a higher order internal PFC model is considered in order to reduce any possible plant-model mismatch, where the inter- nal model is formulated as a series of cascaded or parallel first-order systems. The control approach is compared to a more conventional over parameterized dynamical matrix control (DMC) approach, used extensively for Multi-Input Multi-Output systems in the petrochemical industry. This paper demonstrates the benefits of the PFC higher order formulation for a typical milk pasteurisation plant, with sig- nificant improvements in the variances of both controlled and manipulated variables when compared to a first-order PFC. In this aspect, the higher order controller competes well with DMC performances, however, using a much more sim- pler and compact internal model form.

Item Type:	Article
Keywords:	model predictive control; predictive functional control; milk pasteurisation;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	6801
Identification Number:	https://doi.org/10.1515/ijfe-2012-0006
Depositing User:	Professor John Ringwood
Date Deposited:	14 Jan 2016 15:35
Journal or Publication Title:	International Journal of Food Engineering
Publisher:	De Gruyter
Refereed:	Yes
URI:	http://www.degruyter.com/view/j/ijfe
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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