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On the current state of flotation modelling for process control

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Oosthuizen, D. J.
dc.contributor.author Craig, I. K.
dc.contributor.author Jämsä-Jounela, S. L.
dc.contributor.author Sun, B.
dc.date.accessioned 2019-09-03T13:49:31Z
dc.date.available 2019-09-03T13:49:31Z
dc.date.issued 2017-12-01
dc.identifier.citation Oosthuizen , D J , Craig , I K , Jämsä-Jounela , S L & Sun , B 2017 , ' On the current state of flotation modelling for process control ' , IFAC-PapersOnLine , vol. 50 , no. 2 , pp. 19-24 . https://doi.org/10.1016/j.ifacol.2017.12.004 en
dc.identifier.issn 2405-8963
dc.identifier.other PURE UUID: cc36cb94-c788-43b4-a997-011701d4384c
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/cc36cb94-c788-43b4-a997-011701d4384c
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85040455869&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/36366653/1_s2.0_S2405896317335358_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/40127
dc.description.abstract Despite significant effort in modelling and simulating flotation circuits, comprehensive model based control and optimisation implementations on industrial circuits remain scarce. In this paper, the factors preventing more widespread implementation of model-based control and optimisation applications are investigated by focussing on three aspects. Firstly, the critical variables required in a simplified flotation model are identified. Models that are currently used in control, optimisation and supervisory applications are thereafter analysed to determine to what extent the required variables are modelled. Finally, online instrumentation available to support these models are investigated, also including instrumentation that is still under development and not commonly available in commercial applications. Although models used in control applications tend to focus on subsections of the flotation process, there seem to be a good agreement between the required and modelled variables. Model fitting however often relies on extensive sampling campaigns that will need to be repeated regularly to maintain model accuracy. A number of online measurements of sufficient accuracy are still not available to support these models, compromising the long term reliable use of models in online applications. The fact that flotation processes are in many instances not extensively instrumented, constrains online maintenance and adaption of model based solutions further. en
dc.format.extent 6
dc.format.extent 19-24
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Elsevier Science Publishers BV
dc.relation.ispartofseries IFAC-PapersOnLine en
dc.relation.ispartofseries Volume 50, issue 2 en
dc.rights openAccess en
dc.title On the current state of flotation modelling for process control en
dc.type Conference article fi
dc.description.version Peer reviewed en
dc.contributor.department MINTEK
dc.contributor.department University of Pretoria
dc.contributor.department Department of Chemical and Metallurgical Engineering
dc.subject.keyword Flotation modelling
dc.subject.keyword identification
dc.subject.keyword model based control
dc.subject.keyword optimisation
dc.subject.keyword process control
dc.identifier.urn URN:NBN:fi:aalto-201909035169
dc.identifier.doi 10.1016/j.ifacol.2017.12.004
dc.type.version publishedVersion

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