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scientific edition of Bauman MSTU

SCIENCE & EDUCATION

Bauman Moscow State Technical University.   El № FS 77 - 48211.   ISSN 1994-0408

77-30569/345396 Analysis of properties of quasioptimal and optimal algorithms for the spacecraft spatial reorientation

# 02, February 2012
Article file: Velishansky_art.pdf (845.26Kb)
author: M.A. Velischanskii

Reference

1.  Alekseev K.B., Extensive control the orientation of a spacecraft, Moscow, Mashinostroenie, 1977.

2.  Branets V.N., Shmyglevskii I.P., The use of quaternions in problems of rigid body orientation, Moscow, Nauka, 1973.

3.  Levskii M.V., Optimal control of spatial reversal of a spacecraft, Kosmicheskie issledovaniia 33 (5) (1995) 498-502.

4.  Levskii M.V., The optimal control problem of spacecraft terminal reorientation, Kosmicheskie issledovaniia 31 (4) (1993) 12-17.

5.  Levskii M.V., Management of spacecraft reorientation with minimal integral energy, Avtomatika i telemekhanika 12 (2010) 25-42.

6.  Chelnokov Iu.N., Control the orientation of the spacecraft using quaternions, Kosmicheskie issledovaniia 32 (3) (1994) 21-32.

7.  Ermoshina O.V., Krishchenko A.P., Synthesis of software controls the orientation of the spacecraft by the inverse problems method of dynamics, Izvestiia RAN. Ser. Teoriia i sistemy upravleniia - Proceedings of the Russian Academy of Sciences. Ser. Theory and Control Systems, 2 (2000) 155-162.

8.  Velishchanskii M.A., Krishchenko A.P., Tkachev S.B., Quasi-optimal reorientation of the spacecraft, Mekhanika tverdogo tela 32 (2002) 144-153.

9.  Velishchanskii M.A., Krishchenko A.P., Tkachev S.B., Synthesis of algorithms of reorientation of the spacecraft based on the concept of the inverse problem of dynamics,  Izvestiia RAN. Ser. Teoriia i sistemy upravleniia - Proceedings of the Russian Academy of Sciences. Ser. Theory and Control Systems 5 (2003) 56-163.

10.       Krut'ko P.D., Inverse problems of dynamics of controlled systems: linear models, Moscow, Nauka, 1987.

11.       Krut'ko P.D., Inverse problems of dynamics of controlled systems: nonlinear model, Moscow, Nauka, 1988.

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