On the current state of flotation modelling for process control Article Swipe
D.J. Oosthuizen
,
I.K. Craig
,
Sirkka‐Liisa Jämsä‐Jounela
,
Bei Sun
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2017.12.004
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2017.12.004
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.
Related Topics
Concepts
Instrumentation (computer programming)
Process (computing)
Computer science
Control engineering
Implementation
Process control
Control (management)
Process modeling
Focus (optics)
Reliability engineering
Industrial engineering
Engineering
Work in process
Software engineering
Artificial intelligence
Optics
Operating system
Operations management
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ifacol.2017.12.004
- OA Status
- diamond
- Cited By
- 15
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2784097017
All OpenAlex metadata
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https://openalex.org/W2784097017Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ifacol.2017.12.004Digital Object Identifier
- Title
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On the current state of flotation modelling for process controlWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-12-01Full publication date if available
- Authors
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D.J. Oosthuizen, I.K. Craig, Sirkka‐Liisa Jämsä‐Jounela, Bei SunList of authors in order
- Landing page
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https://doi.org/10.1016/j.ifacol.2017.12.004Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.ifacol.2017.12.004Direct OA link when available
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Instrumentation (computer programming), Process (computing), Computer science, Control engineering, Implementation, Process control, Control (management), Process modeling, Focus (optics), Reliability engineering, Industrial engineering, Engineering, Work in process, Software engineering, Artificial intelligence, Optics, Operating system, Operations management, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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15Total citation count in OpenAlex
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2024: 1, 2022: 3, 2021: 2, 2020: 2, 2019: 4Per-year citation counts (last 5 years)
- References (count)
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41Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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