A.A. Pirogov1, G.S. Serikov2, A.V. Turetsky3, N.V. Tsipina4, N.E. Samoilenko5
1-5 FSBEI of HE “Voronezh State Technical University” (Voronezh, Russia)
1 Pirogov.alx@gmail.com; 2 georgy301212@gmail.com; 3 tav7@mail.ru; 4 tcnv@mail.ru; 5 ju.i@mail.ru
Problem statement. Modern intelligent active tooling systems for CNC machines operate under conditions of intense industrial interference, leading to the appearance of multi-peak (multi-extreme) characteristics of controlled parameters. Existing extreme control methods, including the classic "hill climb" algorithm, work reliably only when there is a single global maximum and "get stuck" at local extremes in multi-peak modes. This leads to a decrease in the efficiency, energy efficiency and reliability of radio-electronic active equipment systems. Thus, the scientific problem lies in the lack of an extreme control method that ensures guaranteed achievement of a global extreme in real time in conditions of multi-peak characteristics and industrial interference.
Goal. Development of a technique for extreme control of active equipment based on a modified method for tracking the maximum power point, which ensures reliable achievement of a global extreme with multi-peak characteristics and industrial interference.
Results. A technique of extreme control of active equipment has been developed, which makes it possible to reliably distinguish global extremes from local ones. A hybrid algorithm for "hill climbing" with adaptive pitch is proposed, ensuring stable convergence in conditions of multi-peak characteristics and industrial interference. An increase in the efficiency of using installed capacity by 10-16% compared to traditional methods has been experimentally confirmed.
Practical significance. The results obtained make it possible to increase the efficiency of active equipment by 10-16% due to reliable achievement of the global extreme in conditions of interference and multi-peak modes.
The work was carried out with the financial support of the Ministry of Science and Higher Education of the Russian Federation within the framework of the state assignment "youth laboratory" № FZGM-2026-0010.
Pirogov A.A., Serikov G.S., Turetsky A.V., Tsipina N.V., Samoilenko N.E. The technique of extreme mode control based on a modified method of tracking the point of maximum power for intelligent active equipment // Radiotekhnika. 2026. V. 90. № 7. P. 83−87. DOI: https://doi.org/10.18127/j00338486-202607-15
- Larbes C., Cheikh S.M.A., Obeidi T., Zerguerras A. Genetic algorithm optimized fuzzy logic control for the maximum power point tracking in photovoltaic system. Renew. Energy. 2009. V. 34. № 10. Р. 2093–2100.
- Mutoh N., Ohno M., Inoue T. A method for MPPT control while Searching for parameters corresponding to weather conditions for PV generation systems. Indus Elect IEEE Transact. 2006. Р. 1055–1065.
- Lobatyj A.A. i dr. Matematicheskoe modelirovanie gibridnyh elektrotekhnicheskih sistem. Nauka i tekhnika. 2016. T. 15. № 4. S. 322–328 (in Russian).

