This research is scientifically significant because the issue of maintaining internal electromagnetic compatibility within electronic systems is essential for the development of modern and advanced technical devices and technologies. However, there is currently no approach for optimal placement of electronic equipment antenna systems that considers their electromagnetic compatibility when interacting with them through antenna systems. A genetic algorithm is proposed as the primary method for solving this problem. It considers the mutual influence of electronic equipment antenna systems as a key criterion for optimizing their spatial arrangement, enabling the search for compromise solutions in a multi-parameter space. As a result, an algorithm was developed for determining rational antenna placement schemes. The main conclusion is that considering the mutual influence of electronic equipment through their antenna systems can be effectively used not only for analysis but also for direct optimization of the electromagnetic environment. The developed algorithm can be applied at the design stage of technical facilities for automated planning of antenna system placement in accordance with electromagnetic compatibility standards, thereby reducing the level of mutual interference.
1. Zatuchny D.A., Negreskul G.G., Sauta O.I., et al. Aerospace Radionavigation Systems: Electromagnetic Compatibility. Singapore: Springer; 2022. 210 p. https://doi.org/10.1007/978-981-19-6341-4
2. Vasilyev B.V. Forecasting the reliability and efficiency of electronic device. Moscow: Sov. radio; 1970. 334 p. (In Russ.).
3. Ivanov V.A. Electromagnetic compatibility of electronic devices. Kiev: Tekhnika; 1983. 120 p. (In Russ.).
4. Sedel'nikov Y.E., Veden'kin D.A., Latyshev V.E., et al. Antenna systems of radio equipment for advanced UAVs: Problems and lines of development. Russian Aeronautics. 2015;58(2):221–226. https://doi.org/10.3103/S1068799815020142
5. Gaynutdinov R.R., Chermoshencev S.F. Modeling the external electromagnetic influences on the complex electronic equipment. In: XVIII International Conference on Soft Computing and Measurements (SCM'2015), 19–21 May 2015, Saint Petersburg, Russia. IEEE; 2015. P. 90–92. https://doi.org/10.1109/SCM.2015.7190420
6. Knyazev A.D. Elements of theory and practice of electromagnetic compatibility of electronic devices. Moscow: Radio i svyaz; 1984. 336 p. (In Russ.).
7. Gainutdinov R.R., Chermoshentsev S.F. Placing on-board equipment in the fuselage space of an unmanned aerial vehicle using a genetic algorithm. Modeling, Optimization and Information Technology. 2024;12(1). (In Russ.). https://doi.org/10.26102/2310-6018/2024.44.1.021
8. Gladkov L.A., Kravchenko Yu.A., Kureychik V.V., et al. Intelligent systems: Models and methods of metaheuristic optimization. Cheboksary: Sreda; 2024. 229 p. (In Russ.).
9. Suzdaltsev I.V., Chermoshencev S.F., Bogula N.Y. Genetic algorithm for onboard equipment placement inside the unmanned aerial vehicle fuselage. In: XIX International Conference on Soft Computing and Measurements (SCM'2016), 25–27 May 2016, Saint Petersburg, Russia. IEEE; 2016. P. 262–264. https://doi.org/10.1109/SCM.2016.7519748
10. Suzdal'tsev I.V., Krupennikova D.E. Layout of aircraft onboard equipment electronic units taking into account the electromagnetic compatibility criterion. Russian Aeronautics. 2024;67(4):987–994. https://doi.org/10.3103/S1068799824040275
Ismagilov Vladislav Vyacheslavovich
Email: ivv_vlad@bk.ru
Kazan National Technical University named after A.N. Tupolev
Kazan, Russian Federation
Gaynutdinov Rustam Rafkatovich
Candidate of Engineering Sciences
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Kazan National Technical University named after A.N. Tupolev
Kazan, Russian Federation