Best of breed control of platinum precipitation reactors

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dc.contributor.author Agbebi, Rotimi
dc.contributor.author Sandrock, Carl
dc.date.accessioned 2016-05-31T07:08:01Z
dc.date.issued 2015-06
dc.description.abstract An existing batch precipitation reactor in the mining industry was modelled from first principles using MATLAB S-function language and wrapped into Simulink custom blocks. The model was validated with open loop simulations to evaluate the response to step changes in the model inputs. Two PID controllers with different parameters were implemented on the model at different operating points and their temperature control performance was evaluated based on their ability track a temperature of the industrial reactor as a set-point. The performance of the controllers was measured and compared using an integral time-domain performance measure. A commercial advanced process controller (APC) was implemented on the model, a communication interface between the model in Simulink and the commercial controller was developed with Industrial Data Xchange (IDX); an OPC client and server. en_ZA
dc.description.department Chemical Engineering en_ZA
dc.description.embargo 2016-06-30
dc.description.librarian hb2016 en_ZA
dc.description.uri http://www.sciencedirect.com/science/bookseries/15707946 en_ZA
dc.identifier.citation Agbebi, R & Sandrock, C 2015, 'Best of breed control of platinum precipitation reactors', Computer Aided Chemical Engineering, vol. 37, pp. 1661-1666. en_ZA
dc.identifier.issn 1570-7946
dc.identifier.other 10.1016/B978-0-444-63577-8.50122-4
dc.identifier.uri http://hdl.handle.net/2263/52801
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2015 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Computational Statistics and Data Analysis. 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. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computational Statistics and Data Analysis, vol. 37, pp. 1661-1666, 2015. doi : 10.1016/B978-0-444-63577-8.50122-4. en_ZA
dc.subject Batch reactors en_ZA
dc.subject Aspen DMC plus en_ZA
dc.subject OPC en_ZA
dc.subject Proportional–integral–derivative (PID) en_ZA
dc.subject Advanced process control (APC) en_ZA
dc.title Best of breed control of platinum precipitation reactors en_ZA
dc.type Postprint Article en_ZA


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