Developing interactive interaction of dual buffering systems and conversion class systems with continuous supply of technological products
DOI:
https://doi.org/10.15587/1729-4061.2021.240163Keywords:
dual buffering system, interactive interaction, adaptive control system, reserve levelsAbstract
Many modern industrial production facilities consist of sequentially operating systems with a continuous supply of technological product. The task of stabilizing the qualitative and quantitative parameters of output products at all stages of such production is a very difficult task and often leads to additional time and money costs. Therefore, improving the efficiency of these processes is a relevant issue.
A review of analogous solutions to this type of problem revealed the variability of their authors’ approaches. However, all of them are aimed at optimizing existing control trajectories, rather than creating a new, more accurate trajectory.
Earlier, as part of the description of the basic principles of structural and parametric optimization of the management of production processes of this type, only the improved work of technological subsystems was reported.
This paper describes the principles of control over the proposed dual buffering system and its interactive interaction with other technological subsystems.
The introduction of buffering systems makes sequential technological subsystems more independent of each other. That makes it possible to increase the degree of freedom for each control subsystem and thereby improve the efficiency of finding the optimal mode of operation of the entire cybernetic system.
A conceptual model of the dual buffering system was built, the stabilization of the quantitative parameter at the output of the buffering system was substantiated through the development of an adaptation mechanism, and simulation modeling of the synthesized system was carried out.
The study shows that the use of buffering systems could improve the quality of energy utilization and reduce the wear of technological mechanisms by 14 % in general
References
- Lee, T., Adams, G. E., Gaines, W. M. (1968). Computer process control: modeling and optimization. Wiley, 386.
- Anderson, B. D., Bitmead, R. R., Johnson, C. R. et. al. (1987). Stability of adaptive systems: passivity and averaging analysis. MIT Press, 300.
- Lutsenko, I. A., Shevchenko, I. V., Oksanich, I. G. (2017). Osnovy effektivnogo upravleniya. Kremenchug: ChP Scherbatyh A.V., 220.
- 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
- 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
- Continuous-Time Dynamical Systems (2008). Optimal Control of Nonlinear Processes, 9–98. doi: https://doi.org/10.1007/978-3-540-77647-5_2
- 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
- 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
- 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
- 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
- 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. doi: https://doi.org/10.15587/1729-4061.2018.136609
- Lutsenko, I. (2014). Systems engineering of optimal control. Synthesis of the structure of the technological products conversion system (Part 1). Eastern-European Journal of Enterprise Technologies, 6 (2 (72)), 29–37. doi: https://doi.org/10.15587/1729-4061.2014.28724
- Lutsenko, I., Fomovskaya, E., Vikhrova, E., Serdiuk, O. (2016). Development of system operations models hierarchy on the aggregating sign of system mechanisms. Eastern-European Journal of Enterprise Technologies, 3 (2 (81)), 39–46. doi: https://doi.org/10.15587/1729-4061.2016.71494
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Igor Lutsenko, Svitlana Koval, Valerii Tytiuk
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.