Process control of ore crushing using block-oriented predictive model

Authors

  • Олексій Юрійович Михайленко State institution of higher education «Kryvyi Rih National University», 11, XXII Partz’yizdu str., Kryvyi Rih, Ukraine, 50027, Ukraine https://orcid.org/0000-0003-2898-6652

DOI:

https://doi.org/10.15587/2312-8372.2015.47952

Keywords:

fragmentation process, control of forecasting models, quality control, computational load, simulation

Abstract

The problem of developing a system of predictive ore crushing control is considered.

A method of forming forecasting control of ore crushing, which is based on static nonlinearities inverting input-output of block-oriented model and approximation of trajectories of control systems of orthonormal Laguerre functions, allowing reduce the problem of determining the sequence of actions to control the problem of quadratic programming. By means of simulation it is found that the proposed system provides higher quality control of transients and calculated load on the control unit as compared to non-linear predictive control.

Using the proposed system will improve the efficiency of ore dressing in mining enterprises through the formation and stabilization of the required granulate characteristics of crush ore, which will reduce energy consumption in the next stages of processing, and as a result, reduce the cost of the final product.

Author Biography

Олексій Юрійович 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. Allgöwer, F. (2004). Nonlinear Model Predictive Control: From Theory to Application. Journal of the Chinese Institute of Chemical Engineers, Vol. 35, № 3, 299–315.
  2. Veremey, E. Y. (2014). Upravlenye s prohnozyruyushchymy modelyamy. SPb.: SPbGU, 212.
  3. Kabanov, S. A. (1997). Upravlenye systemamy na prohnozyruyushchykh modelyakh. SPb.: SPbGU, 200.
  4. Patikirikorala, T., Wang, L., Colman, A., Han, J. (2012). Hammerstein-Weiner Nonlinear Model Based Predictive Control For QoS Management in Complex Software Systems. Control Engineering Practice, Vol. 20, № 1, 49–61. doi:10.1016/j.conengprac.2011.09.003
  5. Bazara, M. (1982). Nelyneynoe prohrammyrovanye. Teoryya y alhorytmу. M.: Mir, 593.
  6. Hadef, J. E., Olaru, S., Rodriguez-Ayerbe, P., Colin, G., Chamaillard, Y., Talon, V. (2013). Nonlinear Model Predictive Control Of The Air Path Of A Turbocharged Gasoline Engine Using Laguerre Functions. In Proceedings of System Theory, Control and Computing (ICSTCC), 2013 17th International Conference. Sinaia, 193–200. doi:10.1109/icstcc.2013.6688959
  7. Hadef, J. E., Olaru, S., Rodriguez-Ayerbe, P., Colin, G., Chamaillard, Y., Talon, V. (2013). Explicit-Ready Nonlinear Model Predictive Control of the Air Path of a Turbocharged Spark-Ignited Engine. In Proceedings of 7th IFAC Symposium on Advances in Automotive Control. Tokyo, Japan, 189–194. doi:10.1109/cca.2013.6662746
  8. Lee, J. H., Chikkula, Y., Yu, Z., Kantor, J. C. (1995). Improving Computational Efficiency of Model Predictive Control Algorithm Using Wavelet Transformation. International Journal of Control, Vol. 61 № 4, 859–883. doi:10.1080/00207179508921935
  9. Wang, L. (2009). Model Predictive Control System Design and Implementation Using MATLAB. London: Springer-Verilag, 375. doi:10.1109/acc.2009.5159781
  10. Porkuyan, O. V. (2007). Ydentyfykatsyya obektov upravlenyya na osnove modeley Hammershteyna otnosytelno k protsessam mahnytnoy separatsyy. Visnyk Kryvorizkoho tekhnichnoho universytetu, 19, 223–228.
  11. Korniyenko, V. I. (2010). Avtomatyzovani systemy optymalnoho keruvannya protsesamy krupnoho droblennya ta samozdribnyuvannya rud. Dnipropetrovsk, 40.
  12. Mykhailenko, O. Yu. (2013). Udoskonalennia matematychnoi modeli konusnoi drobarky z urakhuvanniam rozdilennia kamery droblennia na zony. Visnyk Kryvorizkoho natsionalnoho universytetu, 35, 163–170.
  13. Mykhailenko, O. (2014). Cone Crusher Model Identification using Block-Oriented Systems with Orthonormal Basis Functions. International Journal of Control Theory and Computer Modelling (IJCTCM), Vol. 4, № 3, 1–8. doi:10.5121/ijctcm.2014.4301

Published

2015-07-23

How to Cite

Михайленко, О. Ю. (2015). Process control of ore crushing using block-oriented predictive model. Technology Audit and Production Reserves, 4(3(24), 28–32. https://doi.org/10.15587/2312-8372.2015.47952

Issue

Section

Systems and Control Processes: Original Research