Dynamic routing of signal in on-board computers to increase system reliability
- Authors: Ivanenko K.A.1, Borzov D.B.1, Titov V.S.1, Sizov A.S.1
-
Affiliations:
- Southwest State University (SWSU)
- Issue: Vol 12, No 3 (2025)
- Pages: 80-88
- Section: ELEMENTS OF COMPUTING SYSTEMS
- URL: https://journals.eco-vector.com/2313-223X/article/view/695728
- DOI: https://doi.org/10.33693/2313-223X-2025-12-3-80-88
- EDN: https://elibrary.ru/BEHSLT
- ID: 695728
Cite item
Open Access
Access granted
Abstract
The paper presents a module of the device for searching the degree of optimal placement (DOPPS) for onboard computers, implementing hardware and software reorganization of the topology of the onboard computer subsystem responsible for determining the parameters of speed, altitude, and incident flow pressure under combined interference. The “early cutoff” algorithm on the Kintex-7 FPGA checks up to 1.2 · 106 routes in 0.55 μs and switches the channel in less than 0.72 μs, which satisfies the 1 μs limit established by DO-178C and ARINC 664. HIL tests showed a 15% decrease in the integral “perturbed cost” ΔL and an increase in the probability of successful transmission Ps to 0.96. At the same time, the dynamic power of the CPU decreased by 1.1 W, and the peak temperature of the crystal did not exceed 55 °C. The solution is suitable for serial implementation in UAVs and modernization of manned systems without modification of certified software.
Full Text
About the authors
Kirill A. Ivanenko
Southwest State University (SWSU)
Author for correspondence.
Email: k.iwanencko@gmail.com
ORCID iD: 0009-0006-5125-3720
SPIN-code: 3300-6222
postgraduate student
Russian Federation, KurskDmitry B. Borzov
Southwest State University (SWSU)
Email: borzovdb@mail.ru
ORCID iD: 0000-0001-7926-8349
SPIN-code: 2905-2172
Dr. Sci. (Eng.), Professor, Department of Computer Engineering
Russian Federation, KurskVitaly S. Titov
Southwest State University (SWSU)
Email: titov-kstu@rambler.ru
SPIN-code: 1042-6379
Dr. Sci. (Eng.), Professor
Russian Federation, KurskAlexander S. Sizov
Southwest State University (SWSU)
Email: sizov1942@mail.ru
Dr. Sci. (Eng.), Professor
Russian Federation, KurskReferences
- Bukirev A.S. Method for diagnosing aircraft on-board equipment based on machine learning. Proceedings of MAI. 2023. No. 133. (In Rus.)
- Dzhigan V.I. Adaptive signal filtering: Theory and algorithms. Moscow: Tekhnosfera, 2013. 528 p.
- Yeskin V.I., Poluektov S.P., Rubinov V.I. et al. Modeling of the altitude-speed flight parameter sensor for a maneuverable aircraft. Proceedings of MAI. 2014. Issue 80. (In Rus.)
- Ivanov V.F., Koshkarov A.S. Increasing the noise immunity of GLONASS consumer navigation equipment by integrating it with inertial sensors. Proceedings of MAI. 2017. No. 93. (In Rus.)
- Likhachev V.P., Sidorenko S.V. Noise immunity of the image autofocusing algorithm based on minimum entropy in a complex background environment. Proceedings of MAI. 2016. No. 99. (In Rus.)
- Nerovny V.V. Noise immunity of multi-system GNSS consumer equipment. Moscow: Nauchnaya kniga, 2018. 227 p.
- Nikitin A.V., Soldatkin V.V., Soldatkin V.M. Design and algorithms for processing information for the helicopter low airspeed measurement system in takeoff and landing modes. Proceedings of MAI. 2012. Issue 61. (In Rus.)
- Oleynik A.I. Algorithm for calculating true values of aircraft flight aerometric parameters. Aerospace Instrumentation. 2011. No. 1. Pp. 3–10. (In Rus.)
- Tyapkin P.S. Hardware and software complex for testing methods of blind signal processing in radio systems. Proceedings of MAI. 2023. No. 129. (In Rus.). doi: 10.34759/trd-2023-129-17.
- Anderson J., Brown L. Low-latency AXI4-Stream DMA controller for high-speed data acquisition. In: Proceedings of the 31st International Conference on Field-Programmable Logic and Applications (FPL). 2021. Pp. 167–174.
- Gomes S., Pomportes B., Wallaert M. A real-time air-data system with embedded Kalman filtering on reconfigurable hardware. Aerospace Science and Technology. 2020. Vol. 105. Art. 105989.
- Sharman R.D., Lane T.P. An overview of the clear-air turbulence forecasting problem and future challenges. Progress in Aerospace Sciences. 2016. Vol. 82. Pp. 46–73.
Supplementary files
