University of Oulu

M. Ohenoja, M. Ruusunen, M. Hultgren and A. Remes, "Model Adaptation for Dynamic Flotation Process Simulation," 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), Prague, Czech Republic, 2020, pp. 183-188, doi: 10.1109/CoDIT49905.2020.9263863

Model adaptation for dynamic flotation process simulation

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Author: Ohenoja, Markku1; Ruusunen, Mika1; Hultgren, Matias2;
Organizations: 1Control Engineering Research Group, University of Oulu, P.O.Box 4300, 90014 Oulu, Finland
2Outotec Oyj, Rauhalanpuisto 9, P.O.Box 1000, 02230 Espoo, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe20201209100091
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-12-09
Description:

Abstract

Dynamic production processes in mineral beneficiation have complex flowsheets and non-linear, time-varying behavior. They have also limited measurement capabilities. Hence, virtual models are seen as important tools for assisting in design, planning and operation. The development of operational dimension requires not only a suitable software architecture and virtual model, but also continuous validation or adaptation of the virtual model. In this paper, a framework establishing a digital twin for a flotation process is presented. The model adaptation is treated as a trajectory matching problem and realized with a Differential Evolution algorithm. The results are demonstrating the applicability of the presented approach in simulation environment together with a discussion on additional challenges foreseen in implementations to the real processes.

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Series: International Conference on Control, Decision and Information Technologies
ISSN: 2576-3547
ISSN-E: 2576-3555
ISSN-L: 2576-3547
ISBN: 978-1-7281-5953-9
ISBN Print: 978-1-7281-5954-6
Pages: 183 - 188
DOI: 10.1109/CoDIT49905.2020.9263863
OADOI: https://oadoi.org/10.1109/CoDIT49905.2020.9263863
Host publication: 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)
Conference: International Conference on Control, Decision and Information Technologies
Type of Publication: A4 Article in conference proceedings
Field of Science: 215 Chemical engineering
Subjects:
Funding: This work was developed under the financial support received from The EU Framework Programme for Research and Innovation – H2020-SPIRE-2015 (IbD® - Intensified by Design. GA-680565) and Business Finland project APASSI.
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