MODEL PREDICTIVE CONTROL APPLICATION IN THE ENERGY SAVING TECHNOLOGY OF BASIC OXYGEN FURNACE

Oleksandr Stepanets

stepanets.av@gmail.com
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Automation of Heat and Power Engineering Processes (Ukraine)
http://orcid.org/0000-0003-4444-0705

Yurii Mariiash


National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Automation of Heat and Power Engineering Processes (Ukraine)
http://orcid.org/0000-0002-0812-8960

Abstract

The fulfilment of the condition for the simultaneous achievement of the desired chemical composition and temperature of the metal is ensured by controlling the oxygen consumption and the position of the oxygen impeller lance. The method for solving Model Predictive Control with quadratic functionality in the presence of constraints is given.  Implementation of the described solutions will contribute to increasing the proportion of scrap and reducing the melting period without changing of technological process.


Keywords:

model predictive control, basic oxygen furnace, optimal control, energy saving

Backman J., et al.: Methods and Tools of Improving Steel Manufacturing Processes: Current State and Future Methods. International Federation of Automatic Control PapersOnLine 52(13)/2019, 1174–1179.
DOI: https://doi.org/10.1016/j.ifacol.2019.11.355   Google Scholar

Bogushevskiy V.S., et al.: System for the BOF Process Control. The Advanced Science Open Access Journal 5/2013, 23–27.
  Google Scholar

Bogushevskiy V.S., Zuboka C.M.: Mathematical modeling of the converter process by energy-saving technology. Technological complexes 2/2013, 32–38.
  Google Scholar

Camacho E.F., Bordons A.: Model Predictive Control. 2nd ed, Springer-Verlag London 2007.
DOI: https://doi.org/10.1007/978-0-85729-398-5   Google Scholar

Cherneha D.F., et al.: Fundamentals of metallurgical production of metals and alloys. High School, Kyiv 2006.
  Google Scholar

Ghosh S., et al.: BOF process dynamics. Mineral Processing and Extractive Metallurgy 128(1)/2018, 1–17.
DOI: https://doi.org/10.1080/25726641.2018.1544331   Google Scholar

Kouvaritakis B., Cannon M.: Model Predictive Control Classical, Robust and Stochastic. Springer-Verlag, London 2016.
DOI: https://doi.org/10.1007/978-1-4471-5058-9_7   Google Scholar

Ruuska J., et al.: Mass-balance Based Multivariate Modelling of Basic Oxygen Furnace Used in Steel Industry. International Federation of Automatic Control PapersOnLine 50(1)/2017, 13784–13789.
DOI: https://doi.org/10.1016/j.ifacol.2017.08.2065   Google Scholar

Stepanets O., Mariiash Y.: Analysis of Influence of Technical Features of a PID – controller Implementation on The Dynamics of Automated Control System. Eastern-European Journal of Enterprise Technologies 3(2)/2018, 60–69.
DOI: https://doi.org/10.15587/1729-4061.2018.132229   Google Scholar

Zhang J.: Optimal Control Problem of Converter Steelmaking Production Process Based on Operation Optimization Method. Discrete Dynamics in Nature and Society 2015, Article ID 483674.
DOI: https://doi.org/10.1155/2015/483674   Google Scholar

MathWorks. Design Controller Using MPC Designer. https://www.mathworks.com/help/mpc/gs/introduction.html?ue (available 5.09. 2018).
  Google Scholar

Download


Published
2020-06-30

Cited by

Stepanets, O., & Mariiash, Y. (2020). MODEL PREDICTIVE CONTROL APPLICATION IN THE ENERGY SAVING TECHNOLOGY OF BASIC OXYGEN FURNACE. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 10(2), 70–74. https://doi.org/10.35784/iapgos.931

Authors

Oleksandr Stepanets 
stepanets.av@gmail.com
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Automation of Heat and Power Engineering Processes Ukraine
http://orcid.org/0000-0003-4444-0705

Authors

Yurii Mariiash 

National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Automation of Heat and Power Engineering Processes Ukraine
http://orcid.org/0000-0002-0812-8960

Statistics

Abstract views: 264
PDF downloads: 174