Two-level system of automated control over cone crusher

Authors

  • Алексей Юрьевич Михайленко State institution of higher education «Kryvyi Rih National University» 11, XXII Partz’yizdu str., Kryvyi Rih, Ukraine, 50027, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2014.24899

Keywords:

cone crusher, target function, extremum seeking control, hierarchical system, modeling

Abstract

Today, improving the efficiency of managing technological processes of ore-concentration plants takes a prominent place in the task structure of the mining and metallurgical complex. This issue can be solved in two ways. On the one hand, it requires a complete replacement of production lines using modern equipment. On the other hand, increasing the production efficiency can be achieved by upgrading existing machines and units through developing more sophisticated algorithms and control systems. The paper proposes using the second approach for improving the efficiency of technological processes of ore dressing, namely, crushing of raw materials in cone crushers. For this purpose, the extremal control search system based on the economic quality criteria is proposed. It was found that the target function is unimodal within productivity variation margins by the initial feeding of the crusher. Herewith, the optimum fluctuates when the width of the crusher opening changes. This feature conditions the choice of the control method. Furthermore, basing on the experimental data, obtained at the “NKMPC” (Novokrivirozhskiy mining and processing complex) PJSC “ArcelorMittal Krivoy Rog” crushing plant №2, the dynamic model of a cone crusher by the “width of the crushing opening − electric power” scheme  was obtained. The simulation experiments conducted in the MATLAB proved the economic feasibility of implementing the proposed control system into production.

Author Biography

Алексей Юрьевич Михайленко, State institution of higher education «Kryvyi Rih National University» 11, XXII Partz’yizdu str., Kryvyi Rih, Ukraine, 50027

Assistant

Department of Power Supply and Energy Management

References

  1. Богданчиков, В. М. Совершенствование автоматизации дробильно-размольного оборудования [Текст] / В. М. Богданчиков, С. П. Цедилкин, В. В. Марамекин // Горное оборудование и электромеханика. – 2007. - № 7. - С. 26-31.
  2. Hulthen, E. Real-time optimization of cone crushers: PhD Thesis / Erik Hulthen. – Goteborg, 2010. – 68 p.
  3. ASRi – новая интеллектуальная система управления дробилкой // Строительно-дорожная индустрия. – 2005. – №20. – С.18-19.
  4. Gromov, D. Analysis of Hierarchical Structures for Hybrid Control Systems: PhD Thesis [Теxt] / D. Gromov. - Berlin, 2010. – 118 p.
  5. Scattolini, R. Architectures for distributed and hierarchical Model Predictive Control – A review [Теxt]/ R. Scattolini // Journal of Process Control. – 2009. – Vol. 19. – P. 723-731.
  6. Scattolini, R. Hierarchical model predictive control [Теxt] / R. Scattolini // In Proceedings of the 46th IEEE Conference on Decision and Control. - New Orleans, LA, USA. – 2007. - P. 4803-4808.
  7. Scattolini, R. A switched MPC approach to hierarchical control [Теxt] / R. Scattolini, P. Colaneri, D. De Vito // In Proceedings of the 17th IFAC World Congress. - Seoul, Korea. – 2008. - P. 7790-7795.
  8. Picasso, B. Hierarchical model predictive control of Wiener models [Теxt]/ B. Picasso, C. Romani, R. Scattolini // In Proceedings of the International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control. - Pavia, Italy, 2008. – P. 139-152.
  9. Барский, Л. А. Системный анализ в обогащении полезных ископаемых [Текст] / Л. А. Барский, В. З. Козин. - М.: Недра, 1978. – 486 с.
  10. Тытюк, В. К. Автоматизация процессов управления с использованием объектно-ориентированного подхода [Текст] / В. К. Тытюк, И. А. Луценко, А. Ю. Михайленко // Вісник Криворізького технічного університету: Зб. наук. праць. – Кривий Ріг: Мінерал, 2009. - №24. – С. 81-85.
  11. Автоматизация управления обогатительными фабриками [Текст] ; под ред. Б. Д. Кошарского, А. Я. Ситковского, А.В . Красномовца. – М.: Недра, 1977. – 527 с.
  12. Тихонов, О. Н. Автоматизация производственных процессов на обогатительных фабриках [Текст]: учебн. для вузов / О. Н. Тихонов. – М.: Недра, 1985. – 272 с.
  13. Андреев, С. А. Дробление, измельчение и грохочение полезных ископаемых [Текст] / С. А. Андреев, В. А. Перов, В. В. Зверевич. – 3-е изд., перераб. и доп. – М.: Недра, 1980. – 415 с.
  14. Клушанцев, Б. В. Дробилки. Конструкция, расчёт, особенности эксплуатации [Текст] / Б. В. Клушанцев, А. И. Косарев, Ю. А. Муйземнек. – М.: Машиностроение, 1990. – 320 с. - Библиогр.: С. 316-317. – ISBN 5-217-00870-9
  15. Тытюк, В. К. Архитектура системы оптимального управления технологическими процессами с порционной подачей сырьевых продуктов [Текст] / В. К. Тытюк, И. А. Луценко, А. Ю. Михайленко // Вісник Кременчуцького державного університету ім. Михайла Остроградського. – Кременчук: КДУ, 2010. – №5/2010 (64). – С. 24-29.
  16. Линч, А. Дж. Циклы дробления и измельчения. Моделирование, оптимизация, проектирование и управление [Текст] / А. Дж. Линч; пер. с англ. – М.: Недра, 1981. – 343 с.
  17. Bogdanchikov, V. M., Cedilkin, S. P., Maramekin, V. V. (2007). Improving automation crushing and milling equipment. Mining Machinery and Electromechanics, 7, 26-31.
  18. Hulthen, E. (2010). Real-time optimization of cone crushers: PhD Thesis, Goteborg, 68.
  19. ASRi - new intelligent crusher control system (2005). Road construction industry. 20, 18-19.
  20. Gromov, D. (2010). Analysis of Hierarchical Structures for Hybrid Control Systems: PhD Thesis, Berlin, 118.
  21. Scattolini, R. (2009). Architectures for distributed and hierarchical Model Predictive Control – A review. Journal of Process Control, 19, 723-731.
  22. Scattolini, R. (2007). Hierarchical model predictive control. In Proceedings of the 46th IEEE Conference on Decision and Control, New Orleans, LA, USA, 4803-4808.
  23. Scattolini, R., Colaneri, P., De Vito, D. (2008). A switched MPC approach to hierarchical control. In Proceedings of the 17th IFAC World Congress, Seoul, Korea, 7790-7795.
  24. Picasso, B., Romani, C., Scattolini, R. (2008). Hierarchical model predictive control of Wiener models. In Proceedings of the International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control, Pavia, Italy, 139-152.
  25. Barskij, L. A., Kozin, V. Z. (1978). System analysis in mineral processing. Moscow, USSR. Bowels, 486.
  26. Tytyuk, V. K., Lutsenko, I. A., Mykhailenko, O. (2009). Automation of control processes using an object-oriented approach. Journal of Krivoy Rog Technical University, 24. Kryvyi Rih, Ukraine, Mineral, 81–85.
  27. Kosharskij, B. D., Sitkovskij, A. Y., Krasnomovec, A. V. (1977). Mineral processing plants automation control. Moscow, USSR. Bowels, 527.
  28. Tikhonov, O. N. (1985). Automation of industrial processes at the mineral processing plants. Moscow, USSR. Bowels, 272.
  29. Andreev, S. A. (1980). Crushing, grinding and screening of minerals. Moscow, USSR. Bowels, 415.
  30. Klushantsev, B. V., Kosarev, A. I., Muyzemnek, J. A. (1990). Crushers. Design, calculation, operational features. Moscow, USSR. Mechanical Engineering, 320.
  31. Tytyuk, V. K., Lutsenko, I. A., Mykhailenko, O. (2010). The industrial batch feed process optimal control system architecture. Journal of Kremenchug State University Michael Ostrogradskiy, 5(64). Kremenchuk, Ukraine, 24–29.
  32. Linch, A. J. (1981). Crushing and grinding cycles. Modeling, optimization, design and control. Moscow, USSR. Bowels, 343.

Downloads

Published

2014-06-25

How to Cite

Михайленко, А. Ю. (2014). Two-level system of automated control over cone crusher. Eastern-European Journal of Enterprise Technologies, 3(2(69), 44–51. https://doi.org/10.15587/1729-4061.2014.24899

Issue

Vol. 3 No. 2(69) (2014): Information technology. Industry control systems

Section

Industry control systems

License

Copyright (c) 2014 Алексей Юрьевич Михайленко

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.