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
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.
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