Reducing the number of size classes in a cumulative rates model used for process control of a grinding mill circuit
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Date
Authors
Le Roux, Johan Derik
Craig, Ian Keith
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
The number of size classes in a cumulative rates model of a grinding mill circuit is reduced to determine the minimum
number required to provide a reasonably accurate model of the circuit for process control. Each reduced size class set is
used to create a non-linear cumulative rates model which is linearised to design a linear model predictive controller. The
accuracy of a model is determined by the ability of the corresponding model predictive controller to control important
process variables in the grinding mill circuit as represented by the full non-linear cumulative rates model.
Results show that a model with 25 size classes that provides valuable information for plant design and scale-up, can be
reduced to a model containing only a small number of size class sets and still be suitable for process control. Although
as few as 3 size classes can be used to obtain a fairly accurate model for process control, the distribution of these 3 size
classes influences the accuracy of the model. For a model to be useful for process control, the model should at least
provide the directions in which the process variables change.
Description
Keywords
Comminution, Grinding, Model reduction
Sustainable Development Goals
Citation
Le Roux, JD & Craig, IK 2013, 'Reducing the number of size classes in a cumulative rates model used for process control of a grinding mill circuit', Power Technology, vol. 246, pp. 169-181.