Development of a GPC control strategy for a continuous frying process based on product quality attributes /

The dynamics of a continuous frying process making a snack

Bibliographic Details
Main Author: Brescia, Lorenzo Emiliano, 1971-
Format: Thesis Book
Language:English
Published: [Place of publication not identified] : [publisher not identified] ; 1996.
Subjects:
Description
Summary:The dynamics of a continuous frying process making a snack
product were modeled and a controlled developed to
automatically control product quality attributes on-line.
The process was modeled using X (erogenous input), ARX
(autoregressive with erogenous input), and ARMAX
(autoregressive moving average with erogenous input) model
structures. For control purposes, a Generalized Predictive
Controller (GPC) was used. The X, ARX, and ARMAX models with
the lowest Aikaike's Information Criteria (AIC) values were
chosen as the best ones to predict the process dynamics. The
process was modeled as a MIMO (multiple-input multiple-
output) and as a MISO (multiple-input single-output). The
inputs were the oil temperature [C], the submerger conveyor
speed [%], and the takeout conveyor speed [%]. The outputs,
or product quality attributes, were the color b moisture
content [% wb]. the oil content [% wb], and the moisture []. The
Generalized Predictive Controller developed in this research
employs the models mentioned above to calculate future
changes in manipulated variables. Physical constraints of
the continuous fryer were also imposed to the controller.
These restrict the inputs to a certain range regardless of
the optimal value. A tracking test was designed using
typical industry values. The output setpoints were changed
to see how well the inputs tracked the variation. The
response time was adequately short. The input variations
were within industry standards. The yielded output signals
were smooth and showed little or no overshoot for the
different setpoint changes.
Item Description:Vita.
"Major subject: Agricultural Engineering".
Physical Description:xvi, 158 leaves : illustrations ; 28 cm.
Issued also on microfiche from Lange Micrographics.
Bibliography:Includes bibliographical references.