Development of structural-parametric optimization method in systems with continuous feeding of technological products

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.136609

Keywords:

structural-parametric optimization, continuous process efficiency, continuous technological process

Abstract

Increasing the efficiency of continuous technological processes, in practice, involves certain difficulties. The presence of these difficulties is due to the fact that the technological product quality is functionally related to energy consumption. In turn, the lack of necessary degrees of freedom, within the framework of the system under investigation, limits the optimization capabilities of control processes.

To increase the degrees of freedom of control, the technological mechanism was divided into technological sections. The sections allow collecting independent modules, each of which has its own subsystem of stabilization of the technological product qualitative parameter.

This approach allowed us to set different trajectories of changes in the technological product qualitative parameters within one production stage.

As a result of the research, it was found that the change in the technological mechanism structure (the modules number) and the trajectory of the change in the technological product qualitative parameter made it possible to change the total energy consumption and wear of the working mechanisms of equipment.

The proposed approach made possible to obtain two degrees of freedom of control: the possibility of changing the sectional structure into self-stabilizing modular systems and changing the trajectory of the technological product qualitative parameter within the production stage.

The obtaining of degrees of freedom of control, in turn, allowed to change the resource efficiency of the continuous technological process and to develop the method of structural-parametric optimization. As an optimization criterion, an evaluation indicator was used, which was verified for the possibility to use it as an efficiency criterion.

As a result, the optimization control capabilities are significantly increased.

The principles of the approach are considered in the work with the example of one-, two- and three-step process of continuous liquid heating.

Author Biographies

Igor Lutsenko, Kremenchuk Mykhailo Ostrohradskyi National University Pershotravneva str., 20, Kremenchuk, Ukraine, 39600

Doctor of Technical Sciences, Professor

Department of Information and Control Systems

Svetlana Koval, Kremenchuk Mykhailo Ostrohradskyi National University Pershotravneva str., 20, Kremenchuk, Ukraine, 39600

PhD, Senior Lecturer

Department of Information and Control Systems

Iryna Oksanych, Kremenchuk Mykhailo Ostrohradskyi National University Pershotravneva str., 20, Kremenchuk, Ukraine, 39600

PhD, Associate Professor

Department of Information and Control Systems

Olga Serdiuk, State institution of higher education «Kryvyi Rih National University» Vitaliya Matusevycha str., 11, Kryvyi Rih, Ukraine, 50027

PhD, Senior Lecturer

Department of automation, computer science and technology

Hanna Kolomits, State institution of higher education «Kryvyi Rih National University» Vitaliya Matusevycha str., 11, Kryvyi Rih, Ukraine, 50027

Assistant

Department of Electromechanics

References

  1. Ziegler, J. G., Nichols, N. B. (1942). Optimum settings for automatic controllers. Trans. ASME, 64, 759–768.
  2. Lee, T. H., Adams, G. E., Gaines, W. M. (1968). Computer process control: modeling and optimization. Wiley, 386.
  3. Anderson, B. D., Bitmead, R. R., Johnson, C. R. et. al. (1986). Stability of adaptive systems: passivity and averaging analysis. MIT Press, 300.
  4. Krasovskiy, A. A. (Ed.) (1987). Spravochnik po teorii avtomaticheskogo upravleniya. Moscow: Nauka, 712.
  5. Lutsenko, I. (2016). Principles of cybernetic systems interaction, their definition and classification. Eastern-European Journal of Enterprise Technologies, 5 (2 (83)), 37–44. doi: https://doi.org/10.15587/1729-4061.2016.79356
  6. Lutsenko, I., Fomovskaya, E., Koval, S., Serdiuk, O. (2017). Development of the method of quasi-optimal robust control for periodic operational processes. Eastern-European Journal of Enterprise Technologies, 4 (2 (88)), 52–60. doi: https://doi.org/10.15587/1729-4061.2017.107542
  7. Lutsenko, I. (2015). Optimal control of systems engineering. development of a general structure of the technological conversion subsystem (Part 2). Eastern-European Journal of Enterprise Technologies, 1 (2 (73)), 43–50. doi: https://doi.org/10.15587/1729-4061.2015.36246
  8. Benett, S. (1986). A History of Control Engineering 1800–1930. Institution of Engineering and Technology, 214.
  9. Barskiy, L. A., Kozin, V. Z. (1978). Sistemnyy analiz v obogashchenii poleznyh iskopaemyh. Moscow: Nedra, 486.
  10. Kagramanyan, S. L., Davidkovich, A. S., Malyshev, V. A. et. al. (1989). Modelirovanie i upravlenie gornorudnymi predpriyatiyami. Moscow: Nedra, 360.
  11. Goncharov, Yu. G., Davidkovich, A. S. (1968). Avtomaticheskiy kontrol' i regulirovanie na zhelezorudnyh obogatitel'nyh fabrikah. Moscow: Nedra, 227.
  12. Leonzio, G. (2017). Optimization through Response Surface Methodology of a Reactor Producing Methanol by the Hydrogenation of Carbon Dioxide. Processes, 5 (4), 62. doi: https://doi.org/10.3390/pr5040062
  13. Sahlodin, A., Barton, P. (2017). Efficient Control Discretization Based on Turnpike Theory for Dynamic Optimization. Processes, 5 (4), 85. doi: https://doi.org/10.3390/pr5040085
  14. Kupin, A. (2014). Application of neurocontrol principles and classification optimisation in conditions of sophisticated technological processes of beneficiation complexes. Metallurgical and Mining Industry, 6, 16–24.
  15. Liu, J., Liu, C. (2015). Optimization of Mold Inverse Oscillation Control Parameters in Continuous Casting Process. Materials and Manufacturing Processes, 30 (4), 563–568. doi: https://doi.org/10.1080/10426914.2015.1004696
  16. Wedyan, A., Whalley, J., Narayanan, A. (2017). Hydrological Cycle Algorithm for Continuous Optimization Problems. Journal of Optimization, 2017, 1–25. doi: https://doi.org/10.1155/2017/3828420
  17. Saberi Nik, H., Effati, S., Motsa, S. S., Shirazian, M. (2013). Spectral homotopy analysis method and its convergence for solving a class of nonlinear optimal control problems. Numerical Algorithms, 65 (1), 171–194. doi: https://doi.org/10.1007/s11075-013-9700-4
  18. Fazeli Hassan Abadi, M., Rezaei, H. (2015). A Hybrid Model Of Particle Swarm Optimization And Continuous Ant Colony Optimization For Multimodal Functions Optimization. Journal of Mathematics and Computer Science, 15 (02), 108–119. doi: https://doi.org/10.22436/jmcs.015.02.02
  19. Berestin, N. K. (2016). Dynamic optimization of grain drying processes using a continuous management system. Polythematic Online Scientific Journal of Kuban State Agrarian University, 124 (10), 1–19. doi: https://doi.org/10.21515/1990-4665-124-066
  20. Jacobs, J. H., Etman, L. F. P., van Campen, E. J. J., Rooda, J. E. (2003). Characterization of operational time variability using effective process times. IEEE Transactions on Semiconductor Manufacturing, 16 (3), 511–520. doi: https://doi.org/10.1109/tsm.2003.815215
  21. Haddad, W. M., Nersesov, S. G. (2017). Stability and Control of Large-Scale Dynamical Systems: A Vector Dissipative Systems Approach. Princeton Scholarship, 353. doi: https://doi.org/10.23943/princeton/9780691153469.001.0001
  22. Shi, H., Chu, Y., You, F. (2015). Novel Optimization Model and Efficient Solution Method for Integrating Dynamic Optimization with Process Operations of Continuous Manufacturing Processes. Industrial & Engineering Chemistry Research, 54 (7), 2167–2187. doi: https://doi.org/10.1021/ie503857r
  23. Mihaylov, V. V. (1973). Nadezhnost' elektrosnabzheniya promyshlennyh predpriyatiy. Moscow: Energiya, 168.
  24. Lutsenko, I. (2016). Definition of efficiency indicator and study of its main function as an optimization criterion. Eastern-European Journal of Enterprise Technologies, 6 (2 (84)), 24–32. doi: https://doi.org/10.15587/1729-4061.2016.85453
  25. Lutsenko, I., Fomovskaya, E., Oksanych, I., Koval, S., Serdiuk, O. (2017). Development of a verification method of estimated indicators for their use as an optimization criterion. Eastern-European Journal of Enterprise Technologies, 2 (4 (86)), 17–23. doi: https://doi.org/10.15587/1729-4061.2017.95914
  26. Lutsenko, I., Fomovskaya, O., Vihrova, E., Serdiuk, O., Fomovsky, F. (2018). Development of test operations with different duration in order to improve verification quality of effectiveness formula. Eastern-European Journal of Enterprise Technologies, 1 (4 (91)), 42–49. doi: https://doi.org/10.15587/1729-4061.2018.121810
  27. Lutsenko, I., Oksanych, I., Shevchenko, I., Karabut, N. (2018). Development of the method for modeling operational processes for tasks related to decision making. Eastern-European Journal of Enterprise Technologies, 2 (4 (92)), 26–32. doi: https://doi.org/10.15587/1729-4061.2018.126446

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Published

2018-07-05

How to Cite

Lutsenko, I., Koval, S., Oksanych, I., Serdiuk, O., & Kolomits, H. (2018). Development of structural-parametric optimization method in systems with continuous feeding of technological products. Eastern-European Journal of Enterprise Technologies, 4(2 (94), 55–62. https://doi.org/10.15587/1729-4061.2018.136609

Issue

Vol. 4 No. 2 (94) (2018): Information technology. Industry control systems

Section

Industry control systems

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Copyright (c) 2018 Igor Lutsenko, Svetlana Koval, Iryna Oksanych, Olga Serdiuk, Hanna Kolomits

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