Optimization of PI controller tuning in automatic control systems for complex technological processes at Nuclear Power Plants
https://doi.org/10.21822/2073-6185-2025-52-3-107-115
Abstract
Objective. The article focuses on the tuning of PI controllers in control systems for complex processes, such as those in nuclear power plant units.
Method. The application of automatic control theory methods for synthesizing digital regulators is emphasized, simplifying the design process.Special attention is given to the advantages of tuning regulators using analytical simulators. They allow modeling various operating modes, including emergency situations, helping to eliminate issues such as integral windup or loss of stability. Analytical simulators accelerate the tuning process, reducing costs and improving accuracy.
Result. Key tuning parameters are discussed: the gain coefficient (KP) and the integration time constant (TN), which affect thesystem's sensitivity and response speed. Equipment ch as heater power and measurement accuracy, are taken into account. The regulator module 1411 in the PTC TPTS-NT software-hardware complex is described, providing high precision and speed due to a cycle time of 23.3 ms and a frequency range of up to 21.5 Hz. This enables effective processing of input signals and disturbances.
Conclusion. The combination of the TPTS-NT software and analytical simulators ensures high accuracy, adaptability, and reliability of control systems, which is critical for complex processes such as nuclear power plant unit control.
About the Author
D. S. Meniuk
National Research Nuclear University MEPhI
Russian Federation
Russian Federation
Dmitry S. Menyuk - Postgraduate Student, Department No. 2 "Automation".
31 Kashirskoe highway, Moscow 115409
References
1. Squassoni S. The incredible shrinking nuclear offset to climate change. Bulletin of the Atomic Scientists. 2017;73(1):17-26.
2. Saakov E.S., Ryasny S.I. Commissioning of NPP Power Units. Moscow: Energoatomizdat; 2007. 496 p. (In Russ)
3. Rotach V.Y. Calculation of real PID controller tuning. Thermal Engineering. 1993;(10):31-35. (In Russ)
4. Rotach V.Y, Kuzishchin V.F., Klyuev A.S., et al. Automation of Control System Tuning. Moscow: Energoatomizdat; 1984. 272 p. (In Russ)
5. Denisenko V.V. Computer Control of Technological Processes, Experiments and Equipment. Moscow: Hot Line Telecom; 2014. 606 p. (In Russ)
6. Olsson G., Piani G. Digital Automation and Control Systems. St. Petersburg: Nevsky Dialect; 2001. 557 p.
7. Goodwin G.C., Graebe S.F., Salgado M.E. Control System Design. Moscow: BINOM; 2004. 911 p.
8. Åström KJ, Hägglund T. PID Controllers: Theory, Design, and Tuning. 2nd ed. Research Triangle Park: ISA; 1995.
9. Åström K.J., Hägglund T. Automatic tuning of simple regulators with specifications on phase and amplitude margins. Automatica. 1984;20(5):645-651.
10. Ho W.K., Hang C.C., Cao L.S. Tuning of PID controllers based on gain and phase margin specification. Automatica. 1995;31(3):497-502.
11. Rotach V.Y. Calculation of real PID controller tuning. Thermal Engineering. 1993;(10):31-35. (In Russ)
12. Stefani E.P. Fundamentals of Heat Power Process Controller Tuning Calculations. 2nd ed. Moscow: Energiya; 1972. 376 p. (In Russ)
13. Sanchis R., Romero J.A., Balaguer P. PI and PID auto-tuning procedure based on simplified single parameter optimization. Journal of Process Control. 2011;21:840-851.
14. Garpinger O., Hägglund T., Åström K.J. Performance and robustness trade-offs in PID control. Journal of Process Control. 2014;24:568-577.
15. O'Dwyer A. Handbook of PI and PID Controller Tuning Rules. 3rd ed. London: Imperial College Press; 2009.
16. Vilanova R., Visioli A. PID Control in the Third Millennium: Lessons Learned and New Approaches. London: Springer; 2012.
17. Skogestad S. Simple analytic rules for model reduction and PID controller tuning. Journal of Process Control. 2003;13:291-309.
18. Prokhorov A.N., Lysachev M.N. The digital double. Analysis, trends, and global experience. The first edition, corrected and supplemented. A.N. Prokhorov, M.N. Lysachev – M.: Alliansprint LLC, 2020. – 401 p.(In Russ)
19. Software and hardware complex "Virtual digital NPP with VVER" [Electronic resource] // Institute of Problems of Safe Development of Atomic Energy of the Russian Academy of Sciences [website]. URL: http://www.ibrae.ac.ru/contents/362. (In Russ)
20. MU-UZHTSASU.09.06 Methodological guidelines "Stability analysis of automatic control circuits". Revision 1. RASU JSC. (In Russ)
Review
For citations:
Meniuk D.S. Optimization of PI controller tuning in automatic control systems for complex technological processes at Nuclear Power Plants. Herald of Dagestan State Technical University. Technical Sciences. 2025;52(3):107-115. (In Russ.) https://doi.org/10.21822/2073-6185-2025-52-3-107-115
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