Development of information technology to optimize the speed of a steam generator control system with the identification of nonlinear models

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.338164

Keywords:

optimization information technology, steam generator control, nonlinear model, parameter identification

Abstract

This study’s object is the process that controls water level in steam generator at a nuclear power plant. The task considered is to optimize the speed of operation and automatic control system of the steam generator.

Optimization information technology for water level control system in steam generator has been proposed, based on nonlinear mathematical models and level objective functions. Nonlinear mathematical model of control system has been considered, which is built to optimize quality indexes of the system.

Applying the developed algorithms, computational experiments were performed to identify and optimize parameters of control system by optimizing level objective functions. Values for 41 parameters in the model of a water level control system in PGV-1000 steam generator were determined. The resulting value for mean square deviation of the model’s processes from experimental ones equals 0.43%, which is 54% less than when using linear model. As a result of optimizing water level control system when load is dropped by 20%, a minimum control time of 146 s was achieved. A change in the water level in a steam generator did not exceed 24% of maximum allowable value.

A special feature of the devised optimization information technology for control system is that the level objective function includes all information about optimization problem of a nonlinear control system. This simplifies algorithms and software for solving optimization problems in complex control systems. The technology for optimizing nonlinear control systems considered here could make it possible to increase degree of scientific validity of technical projects for improving various applied and promising control systems

Author Biographies

Olena Nikulina, National Technical University "Kharkiv Polytechnic Institute"

Doctor of Technical Sciences, Professor

Department of Information Systems and Technologies

Valerii Severyn, National Technical University "Kharkiv Polytechnic Institute"

Doctor of Technical Sciences, Professor

Department of System Analysis and Information-Analytical Technologies

Nina Kotsiuba, National Technical University "Kharkiv Polytechnic Institute"

Senior Lecturer

Department of Information Systems and Technologies

Andrii Pashniev, National Technical University "Kharkiv Polytechnic Institute"

PhD, Senior Researcher

Department of Information Systems and Technologies

Andrii Usyk, National Technical University "Kharkiv Polytechnic Institute"

PhD Student

Department System Analysis and Information-Analytical Technologies

References

  1. Wan, J., Xie, J., Wang, P., Su, G. H., Wu, S. (2022). Control system design for the once-through steam generator of lead–bismuth cooled reactor based on classical control theory. Annals of Nuclear Energy, 175, 109214. https://doi.org/10.1016/j.anucene.2022.109214
  2. Li, C., Yu, R., Yu, W., Wang, T. (2022). Pressure control of Once-through steam generator using Proximal policy optimization algorithm. Annals of Nuclear Energy, 175, 109232. https://doi.org/10.1016/j.anucene.2022.109232
  3. Qiu, L., Sun, A., Wang, H., Zhang, R., Jiang, G., Sun, P. et al. (2022). Study on water level control system of natural circulation steam generator. Progress in Nuclear Energy, 153, 104436. https://doi.org/10.1016/j.pnucene.2022.104436
  4. Kumar, V., Chandra Mishra, K., Singh, P., Narayan Hati, A., Rao Mamdikar, M., Kumar Singh, L. et al. (2022). Reliability analysis and safety model checking of Safety-Critical and control Systems: A case study of NPP control system. Annals of Nuclear Energy, 166, 108812. https://doi.org/10.1016/j.anucene.2021.108812
  5. Xu, Z., Fan, Q., Zhao, J. (2020). Gain-Scheduled Equivalent-Cascade IMC Tuning Method for Water Level Control System of Nuclear Steam Generator. Processes, 8 (9), 1160. https://doi.org/10.3390/pr8091160
  6. Umurzakova, D. (2021). System of automatic control of the level of steam power generators on the basis of the regulation circuit with smoothing of the signal. IIUM Engineering Journal, 22 (1), 287–297. https://doi.org/10.31436/iiumej.v22i1.1415
  7. Demerdash, N. A., El-Hameed, M. A., Eisawy, E. A., El-Arini, M. M. (2020). Optimal feed-water level control for steam generator in nuclear power plant based on meta-heuristic optimization. Journal of Radiation Research and Applied Sciences, 13 (1), 468–484. https://doi.org/10.1080/16878507.2020.1748350
  8. Kong, X., Shi, C., Liu, H., Geng, P., Liu, J., Fan, Y. (2022). Performance Optimization of a Steam Generator Level Control System via a Revised Simplex Search-Based Data-Driven Optimization Methodology. Processes, 10 (2), 264. https://doi.org/10.3390/pr10020264
  9. Li, X., Kong, X., Shi, C., Shi, J., Yang, Z. (2023). Performance Optimization Method of Steam Generator Liquid Level Control Based on Hybrid Iterative Model Reconstruction. Engineering Proceedings, 37 (1), 111. https://doi.org/10.3390/ecp2023-14628
  10. Li, X., Yang, Z., Yang, Y., Kong, X., Shi, C., Shi, J. (2023). GK-SPSA-Based Model-Free Method for Performance Optimization of Steam Generator Level Control Systems. Energies, 16 (24), 8050. https://doi.org/10.3390/en16248050
  11. Yang, Z., Kong, X., Geng, P., Li, X., Shi, C. (2024). HK-SPSA based performance optimization method for steam generator liquid level control. Annals of Nuclear Energy, 198, 110326. https://doi.org/10.1016/j.anucene.2023.110326
  12. Ma, Q., Fan, Z., Zhang, X., Sun, P., Wei, X. (2024). Water level control of U-tube steam generator based on model-based active disturbance rejection control method. Annals of Nuclear Energy, 206, 110618. https://doi.org/10.1016/j.anucene.2024.110618
  13. Peng, B., Ma, X., Xia, H. (2024). Water level control of nuclear steam generators using intelligent hierarchical autonomous controller. Frontiers in Energy Research, 12. https://doi.org/10.3389/fenrg.2024.1341103
  14. Liu, F., Jiang, Y., Li, Y., Peng, H., Wang, J., Peng, T. (2024). Parameter Optimization of Steam Generator Water Level Control System Based on Piecewise ARX Modeling. IEEE Transactions on Nuclear Science, 71 (2), 135–153. https://doi.org/10.1109/tns.2024.3358561
  15. Nikulina, O. M., Severyn, V. P., Kotsiuba, N. V. (2020). Development of information technology for optimizing the control of complex dynamic systems. Bulletin of National Technical University “KhPI”. Series: System Analysis, Control and Information Technologies, 2 (4), 63–69. https://doi.org/10.20998/2079-0023.2020.02.11
  16. Nikulina, O. M., Severyn, V. P. (2024). Chyselni metody modeliuvannia ta optymizatsii upravlinnia dynamichnymy systemamy. Kharkiv: NTU «KhPI», 144. Available at: https://repository.kpi.kharkov.ua/items/4ed4d845-ee7d-41ad-91bf-78c10de5c384
  17. Nikulina, O., Severin, V., Kotsiuba, N. (2022). Parametric synthesis of control systems for the steam generator of a nuclear power plant. Eastern-European Journal of Enterprise Technologies, 1 (2 (115)), 77–84. https://doi.org/10.15587/1729-4061.2022.253126
  18. Severyn, V. Nikulina, E. (2021). Application of information technology for modeling the control dynamics of a nuclear reactor zoning on the vertical axis. International Scientific Technical Journal "Problems of Control and Informatics", 66 (5), 45–56. https://doi.org/10.34229/1028-0979-2021-5-4
  19. Nikulina, O., Severyn, V., Kotsiuba, N., Bubnov, A. (2021). Simulation of thermal processes of a NPP steam generetor for information technology optimized control. Bulletin of National Technical University “KhPI”. Series: System Analysis, Control and Information Technologies, 1 (5), 56–61. https://doi.org/10.20998/2079-0023.2021.01.09
  20. Nikulina, O., Severyn, V., Bubnov, A., Kondratov, O. (2022). Development of nonlinear model of NPP steam generator for information technology of control optimization. Bulletin of National Technical University “KhPI”. Series: System Analysis, Control and Information Technologies, 1 (7), 21–27. https://doi.org/10.20998/2079-0023.2022.01.04
Development of information technology to optimize the speed of a steam generator control system with the identification of nonlinear models

Downloads

Published

2025-08-29

How to Cite

Nikulina, O., Severyn, V., Kotsiuba, N., Pashniev, A. ., & Usyk, A. (2025). Development of information technology to optimize the speed of a steam generator control system with the identification of nonlinear models. Eastern-European Journal of Enterprise Technologies, 4(2 (136), 102–109. https://doi.org/10.15587/1729-4061.2025.338164

Issue

Vol. 4 No. 2 (136) (2025): Information technology. Industry control systems

Section

Industry control systems

License

Copyright (c) 2025 Olena Nikulina, Valerii Severyn, Nina Kotsiuba, Andrii Pashniev, Andrii Usyk

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.