Concept of multilevel adaptation of integrated navigation systems of small spacecraft


The concept of constructing an adaptive on-board information and measuring complex of small spacecraft is discussed in the paper. The developed concept of multilevel adaptation of integrated navigation systems of small spacecraft provides the required accuracy and survivability in conditions of influencing factors and emergency situations. Lack of clearly defined information-measuring core inherent in modern integrated navigation systems of different moving objects is a distinctive feature of the proposed concept. Basic information of a navigation system with respect to which correction of other systems is supposed to be carried out is formed in accordance with the situation determined by the level of disturbances and failures taking place, as well as modes of operation of small spacecraft. The concept involves three levels: parametric, information and structural adaptation. The parametric level assumes automatic tuning of the parameters of measuring system sensors to ensure the best mode of operation in terms of accuracy. The information level of adaptation provides the required accuracy of determining the parameters of orientation and navigation through the implementation of an adaptive method of complex processing of navigational information. The structural layer provides the system’s self-organization that consists in providing the control of modes of operation of measuring equipment and information resources to ensure the integrity of navigation information in a contingency situation. Methods of system analysis were used in developing the concept of multi-level adaptation of an adaptive on-board information and measuring complex of small spacecraft.

About the authors

I. V. Fominov

Military Space Academy named after A.F. Mozhaiskiy, St. Petersburg

Author for correspondence.

Russian Federation

Candidate of Science (Engineering)

Doctoral student, Department of Autonomous Control Systems


  1. Burdakov V.P., Zigel F.Yu. Fizicheskie osnovy kosmonavtiki. Fizika kosmosa [Physical basis of astronautics. Space physics]. Moscow: Atomizdat Publ., 1975. 232 p.
  2. Golyakov A.D., Fominov I.V. Analysis of influence of reliability and stability of adaptive information measuring-navigation systems on effectiveness of their employment. Navigation and hydrography. 2013. No. 36. P. 9-16.
  3. Timofeev A.V. et al. Methods of optimal, robust and adaptive control of robots, machinery and aerospace vehicles. Informatsionnyy byulleten' RFFI. 1994. T. 2, no. 1. P. 193.
  4. Dmitriev S.P., Kolesov N.V., Osipov A.V. Informatsionnaya nadezhnost', kontrol' i diagnostika navigatsionnykh sistem [Infor-mation reliability, control and diagnostics of navigation systems]. SPb.: TsNII "Electro-pribor" Publ., 2003. 207 p.
  5. Efimov V.V., Pastalaka V.V. Increase of autonomy of the integrated navigating system of a space vehicle on a basis of the neural network approach. Izvestia vuzov. Priborostroenie. 2005. V. 48, no. 6. P. 51-56. (In Russ.)
  6. Tikhonov V.A. Using neural network algorithms work and integraton systems navigation system. Proc. tr. International STC «Modern-technologies in control, automation and information processing». Moscow: Moscow Aviation Institute Publ., 1998. Р. 284-287.
  7. Tikhonov V.A., Nagaev S.V. Approximation of neural networks algorithms navigation system. Proc. tr. International STC "Modern technologies in control, automation and information processing." Moscow: Moscow Aviation Institute Publ., 1999. Р. 256-258.
  8. Tikhonov V.A. Investigation of neural network models of strapdown inertial navigation system algorithms. Aerospace Instrument-Making.2006. No. 1. P. 39-45. (In Russ.)
  9. Pomykaev I.I. et al. Navigatsionnye pribory i sistemy: uch. posobie dlya vuzov [Navigation devices and systems]. Moscow: Mashinostroenie Publ., 1983. 455 p.
  10. Aleshin B.S. et al. Orientatsiya i navigatsiya podvizhnykh ob"ektov: sovremennye informatsionnye tekhnologii [Orientation and navigation of mobile objects: modern information technologies / edited by B.S. Aleshin, K.K. Veremeyenko, A.I. Chernomorsky]. Moscow: FIZMATLIT Publ., 2006. 424 p.
  11. Pupkov K.A. Neusypin K.A., Ke Fan Intellectualization of a measuring complex of the aircraft. Izvestia vuzov. Priborostroenie. 2004. V. 47, no 8. P. 18-23. (In Russ.)
  12. Fominov I.V. Generalized structure of the adaptive information and measuring complex of mobile object. Izvestia vuzov. Priborostroenie. 2013. V. 56, no.7. P. 5-9. (In Russ.)
  13. Fominov I.V., Maletin A.N. Algorithm of self-adjustment of pendulous autooscillating accelerometer under the influence of high-frequency periodic disturbances. Izvestiavuzov. Priborostroenie. 2011. V. 54, no. 9.
  14. P. 28-33. (In Russ.)
  15. Kalikhman D.M. et al. Principles of error-correcting digital controller and the and the measurement of the angular velocity and the apparent acceleration in modern SINS and mathematical software to control them. XX St. Petersburg International Conference on Integrated Navigation system. SPb.: TsNII "Electropribor" Publ., 2013. P. 285-291. (In Russ.)
  16. Sokolov S.V., Pogorelov V.A. Osnovy sinteza mnogostrukturnykh besplatformennykh navigatsionnykh sistem / pod red. V.A. Pogorelova [Fundamentals of synthesis of multistructural platformless navigation systems / edited by V.A. Pogorelov]. M.: FIZMATLIT Publ., 2009. 184 p.



Abstract - 60

PDF (Russian) - 37

Article Metrics

Metrics Loading ...




  • There are currently no refbacks.

Copyright (c) 2015 VESTNIK of the Samara State Aerospace University

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies