Dynamic diagnostic models and method for ensuring the stability of monitoring the technical condition of on-board control systems of aircraft


Аuthors

Baranovsky A. M., Musienko A. S.*

Mlitary spaсe Aсademy named after A.F. Mozhaisky, Saint Petersburg, Russia

*e-mail: vka@mil.ru

Abstract

This article considers the problem of searching for single defects in on-board systems (OS), specifically in space rocket control systems (SRCS). Single defects manifest themselves as OS failures. A new search algorithm is proposed that reduces the number of search steps due to a combined strategy of partitioning the initial set of possible defects.
The proposed strategy includes the principle of half-partition and sequential enumeration of possible defects. It differs from known strategies such as full enumeration, half-partition and mixed strategy in that it allows not only to detect the presence of a defect, but also to identify specific chains that communicate with each other, with a minimum number of testing steps.
The obtained results of the study can be used in the development of devices for monitoring ground and onboard systems, which ensure monitoring and search for defects during the preparation of the launch vehicle for launch. External and internal factors can cause changes in the technical condition of electrical circuits during operation. Defects are especially dangerous and do not allow for the safe operation of products.
The aim of the study is to reduce the number of testing steps to detect the absence of accidents and failures in the event of a failure in the operation of an on-board system.
To achieve this goal, it is proposed to use an original heuristic algorithm for forming sets of tested chains. This algorithm allows forming a terminal minimal set of pairs of chains, assumed to have a failure. This approach reduces the number of necessary pairwise checks at the stage of sequential enumeration of tested systems.
In conclusion, the proposed strategy for searching for single defects is the best one, since it requires fewer elementary checks for monitoring and failure. The implementation of such a strategy is relatively simple with modern monitoring tools based on computing devices and switching devices. The assumption of a single failure is acceptable for normal operating conditions, but in case of deviations, a repeated cycle of checks is necessary.

Keywords:

control system, model, technical condition monitoring, diagnostics, control stability

References

  1. Nadezhnost' v tekhnike. Nadezhnost' ob"ekta. Terminy i opredeleniya. GOST R 27.102-2021. (Reliability in technology. Reliability of the object. Terms and definitions: GOST R 27.102-2021). Moscow: FGBU «RST» Publ., 2021, 45 p.
  2. Vorontsov V.A., Fedorov E.A. Development of a prototype of an intelligent system for operational monitoring and technical condition of the main onboard systems of the spacecraft. Trudy MAI. 2015. No. 82. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=58817
  3. Dorozhko I.V., Kopeika A.L., Osipov N.A. A simulation model for estimating the readiness coefficient of complex technical complexes taking into account indicators for monitoring and diagnosing the technical condition. Trudy Voenno-kosmicheskoi akademii imeni A.F.Mozhaiskogo, 2019, no. 671, pp. 303-313. (In Russ.).
  4. Tekhnicheskaya diagnostika. Terminy i opredeleniya. GOST V 20.911 89. (Technical diagnostics. Terms and definitions. GOST V 20.911 89.). Moscow: Istandarty Publ., 1990, 12 p.
  5. Klyuev V.V. et al. Tekhnicheskie sredstva diagnostirovaniya (Technical diagnostic tools: reference). Moscow: Mashinostroenie Publ., 1989. 671 p.
  6. Bochkarev S.V., Tsaplin A.I. Diagnostika i nadezhnost' avtomatizirovannykh sistem (Diagnostics and reliability of automated systems). Perm': Permskii gosudarstvennyi tekhnicheskii universitet Publ., 2008. 485 p.
  7. Gumenyuk V.M. Nadezhnost' i diagnostika elektrotekhnicheskikh sistem (Reliability and diagnostics of electrical systems). Vladivostok: Dal'nevostochnyi gosudarstvennyi tekhnicheskii universitet Publ., 2010. 218 p.
  8. Gusenitsa Ya.N., Dorozhko I.V., Kochanov I.A., Petukhov A.B. Scientific and methodological approach to assessing the readiness of complex technical complexes taking into account metrological support. Trudy MAI. 2018. No. 98. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=90383
  9. Dorozhko I.V., Musienko A.S. A model for monitoring the technical condition of complex devices using artificial intelligence. Trudy MAI. 2024. No. 137. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=181885
  10. Dorozhko I.V., Kochanov I.A., Osipov N.A., Butyrin A.V. Complex model of reliability and diagnostics of complex technical systems. Trudy Voenno-kosmicheskoi akademii im. A.F. Mozhaiskogo. 2016. No. 652. P. 137–146. (In Russ.).
  11. Kopeika E.A., Verbin A.V. Methodological approach to the probability of trouble-free operation of complex technical systems, taking into account the characteristics of the control system based on the Bayesian network of trust. Trudy MAI. 2023. No. 128. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=171411. DOI: 10.34759/trd-2023-128-22
  12. Lubkov N.V., Spiridonov I.B., Stepanyants A.S. The influence of control characteristics on system reliability indicators. Trudy MAI. 2016. No. 85. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=67501
  13. Privalov A.E., Dorozhko I.V., Zakharova E.A., Kopeika A.L. Simulation model for estimating the availability coefficient of complex technical systems taking into account the characteristics of the diagnostic process. Trudy MAI. 2018. No. 103. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=101526
  14. Polovko A.M., Gurov S.V. Osnovy teorii nadezhnosti (Fundamentals of reliability theory). Saint Petersburg: BKhV-Peterburg Publ., 2006. 702 p.
  15. Baranovskii A.M. Diagnostics of short circuits of electrical circuits. NTK «Problemnye voprosy proektirovaniya i ekspluatatsii bortovykh i nazemnykh sistem upravleniya ob"ektov raketno–kosmicheskoi tekhniki RVSN: tezisy dokladov. Saint Petersburg: MO RF Publ., 1999. P. 89.
  16. Zakharova E.A., Baranovskii A.M. A model for assessing the readiness of complex technical systems taking into account diagnostic quality indicators. Trudy Voenno-kosmicheskoi akademii imeni A.F. Mozhaiskogo. 2019. No. 669. P. 124–132. (In Russ.).
  17. Osipov N.A., Musienko A.S. Increasing the validity of selective control of the on-board system during the operation of space assets. Trudy MAI. 2024. No. 136. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=180675
  18. Kopkin E.V., Chikurov V.A., Aleinik V.V., Lazutin O.G. Algorithm for constructing a flexible program for diagnosing a technical object according to the criterion of the value of the information received. Trudy SPIIRAN. 2015. No. 4(41). P. 106-130. (In Russ.).
  19. Minakov E.P., Privalov A.E., Bugaichenko P.Yu. A model for evaluating the effectiveness of management of multi-satellite orbital systems. Trudy MAI. 2022. No. 125. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=168196. DOI: 10.34759/trd-2022-125-24
  20. Tarasov A.G., Milyaev I.K., Musienko A.S. A model for estimating the availability coefficient of electric cable systems of space assets, taking into account the peculiarities of determining the technical condition. Trudy MAI. 2023. No. 131. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=175923. DOI: 10.34759/trd-2023-131-17


Download

mai.ru — informational site MAI

Copyright © 2000-2024 by MAI

 Вход