Journal Nonlinear World №1 for 2021 г.
Article in number:
Model of auxiliary identification and technical diagnosis of space vehicles, rockets-rockets, running blocks with the function of error recognition of typical solutions
Type of article: scientific article
DOI: https://doi.org/10.18127/j20700970-202101-05
UDC: 629.7.017
Authors:

A.I. Loskutov, V.I. Kondratyuk, E.A. Ryakhova, A.V. Stolyarov

Military Space Academy named after A.F. Mozhaisky (St. Peterburg, Russia)

Abstract:

Problem statement. The concept of solving problems of identification and technical diagnostics of spacecraft (SC), launch vehicles (LV), upper stages (RB) under conditions of imperfect models and methods of their identification with a priori uncertainty of statistical relationships of controlled parameters is proposed.

Goal. Increasing the reliability of technical diagnostics of spacecraft, launch vehicles and missile launchers under conditions of imperfect models and methods of their identification under destructive influences.

Results. A commutative diagram of extended technical diagnostics of complex objects of rocket and space technology (SFBT), as well as a model of augmented identification and technical diagnosis of SFBT as a set of interrelated mathematical models of systems of an object and an object as a whole, control of their technical state, search for the location and causes of malfunctions, assuming the detection of signs of erroneous decisions of typical technical diagnostics and increasing its reliability in case of malfunctions.

Practical significance. The idea of RCBT augmented identification and technical diagnostics of the RCBT with the function of recognizing errors of standard solutions is proposed as a basis for creating special software and mathematical support for standard and promising automated test complexes for the preparation of spacecraft, launch vehicles, RB during factory tests, tests at technical and launch complexes, as well as means spacecraft flight control centers during flight design tests and routine control.

Pages: 46-57
For citation

Loskutov A.I., Kondratyuk V.I., Ryakhova E.A., Stolyarov A.V. Model of auxiliary identification and technical diagnosis of space vehicles, rockets-rockets, running blocks with the function of error recognition of typical solutions. Nonlinear World. 2021. V. 19. № 1. 2021. P. 46−57. DOI: https://doi.org/10.18127/j20700970-202101-05 (In Russian)

References
  1. Mal'cev G.N., Nazarov A.V., Jakimov V.L. Issledovanie processa diagnostirovanija bortovoj apparatury avtomaticheskih kosmicheskih apparatov s ispol'zovaniem diskretno-sobytijnoj imitacionnoj modeli. Trudy SPIIRAN. 2018. № 1(56). S. 95−121 (In Russian).
  2. Dmitriev A.K., Jusupov R.M. Identifikacija i tehnicheskaja diagnostika. MO SSSR. 1987. 521 s. (In Russian).
  3. Dmitriev A.K. Modeli i metody analiza tehnicheskogo sostojanija bortovyh sistem. SPb: VIKU im. A.F. Mozhajskogo. 1999. 171 s. (In Russian).
  4. Davydov P.S. Tehnicheskaja diagnostika radiojelektronnyh ustrojstv i sistem. M.: Radio i svjaz'. 1988. 256 s. (In Russian).
  5. Kalinin V.N. Teoreticheskie osnovy sistemnyh issledovanij. Kratkij avtorskij kurs. SPb: VKA im. A.F. Mozhajskogo. 2013. 278 s. (In Russian).
  6. Kochelaev Ju.S. Avtomatizirovannye ispytatel'nye kompleksy. Vyp. 3. Optimizacija algoritmov avtomatizirovannogo testovogo kontrolja. MO SSSR. 1992. 120 s. (In Russian).
  7. Loskutov A.I., Kozyrev G.I., Sakulin A.N., Bjankin A.A. Osnovy ispytanij bortovyh radiojelektronnyh sistem. SPb: VKA im.  A.F. Mozhajskogo. 2017. 255 s. (In Russian).
  8. Sokolov N.L. Osnovnye principy diagnostiki rabotosposobnosti bortovoj apparatury avtomaticheskih KA i vyrabotki rekomendacij po ustraneniju neshtatnyh situacij. Uspehi sovremennogo estestvoznanija. 2007. № 6. S. 16−20 (In Russian).
  9. Loskutov A.I., Rjahova E.A., Gorbulin V.I. Konceptual'naja model' tehnicheskogo diagnostirovanija bortovoj apparatury avtonomnyh kosmicheskih apparatov na osnove optimal'noj rekonfiguracii v uslovijah apriornoj neopredelennosti pojavlenija neispravnostej. Informacionno-izmeritel'nye i upravljajushhie sistemy. 2020. № 3. S. 43−55 (In Russian).
Date of receipt: 11.02.2021
Approved after review: 26.02.2021
Accepted for publication: 03.03.2021