dc.contributor.author |
Le Roux, Johan Derik
|
|
dc.contributor.author |
Steinboeck, A.
|
|
dc.contributor.author |
Kugi, A.
|
|
dc.contributor.author |
Craig, Ian Keith
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|
dc.date.accessioned |
2017-02-01T09:15:14Z |
|
dc.date.issued |
2017-03 |
|
dc.description.abstract |
A non-linear observer model of a semi-autogenous grinding mill is developed. The observer model distinguishes
between the volumetric hold-up of water, solids, and the grinding media in the mill. Solids
refer to all ore small enough to discharge through the end-discharge grate, and grinding media refers to
the rocks and steel balls. The rocks are all ore too large to discharge from the mill. The observer model
uses the accumulation rate of solids and the mill’s discharge rate as parameters. It is shown that with
mill discharge flow-rate, discharge density, and volumetric hold-up measurements, the model states and
parameters are linearly observable. Although instrumentation at the mill discharge is not yet included
in industrial circuits because of space restrictions, this study motivates the benefits to be gained from
including such instrumentation. An extended Kalman filter is applied in simulation to estimate the model
states and parameters from data generated by a semi-autogenous mill simulation model from literature.
Results indicate that if sufficiently accurate measurements are available, especially at the discharge of
the mill, it is possible to reliably estimate grinding media, solids and water hold-ups within the mill. Such
an observer can be used as part of an advanced process control strategy. |
en_ZA |
dc.description.department |
Electrical, Electronic and Computer Engineering |
en_ZA |
dc.description.embargo |
2018-03-31 |
|
dc.description.librarian |
hb2017 |
en_ZA |
dc.description.sponsorship |
The first author gratefully appreciates support from the University of Pretoria postgraduate study abroad bursary programme. The
second author gratefully acknowledges financial support provided by the Austrian Academy of Sciences in the form of an APART-fellowship
at the Automation and Control Institute of Vienna University of Technology. The third author gratefully acknowledges financial support
provided by the Austrian Federal Ministry of Science, Research and Economy, and the National Foundation for Research, Technology and Development. The fourth author would like to acknowledge the support of the National Research Foundation of South Africa (Grant No.90533). |
en_ZA |
dc.description.uri |
http://www.elsevier.com/locate/jprocont |
en_ZA |
dc.identifier.citation |
Le Roux, JD, Steinboeck, A, Kugi, A & Craig, IK 2017, 'An EKF observer to estimate semi-autogenous grinding mill hold-ups', Journal of Process Control, vol. 51, pp. 27-41. |
en_ZA |
dc.identifier.issn |
0959-1524 (print) |
|
dc.identifier.issn |
1873-2771 (online) |
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dc.identifier.other |
10.1016/j.jprocont.2016.12.006 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/58778 |
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dc.language.iso |
en |
en_ZA |
dc.publisher |
Elsevier |
en_ZA |
dc.rights |
© 2016 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Journal of Process Control. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Journal of Process Control, vol. 51, pp. 27-41, 2017. doi : 10.1016/j.jprocont.2016.12.006. |
en_ZA |
dc.subject |
Comminution |
en_ZA |
dc.subject |
Extended Kalman filter |
en_ZA |
dc.subject |
Grinding mill |
en_ZA |
dc.subject |
Observability |
en_ZA |
dc.subject |
Process control |
en_ZA |
dc.subject |
State and parameter estimation |
en_ZA |
dc.title |
An EKF observer to estimate semi-autogenous grinding mill hold-ups |
en_ZA |
dc.type |
Postprint Article |
en_ZA |