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Gyroscopy and Navigation

, Volume 9, Issue 4, pp 233–242 | Cite as

Method of Processing the Measurements from Two Units of Micromechanical Gyroscopes for Solving the Orientation Problem

  • Q. LiangEmail author
  • Yu. A. Litvinenko
  • O. A. Stepanov
Article
  • 11 Downloads

Abstract

The data processing problem in attitude and heading reference system based on two units of micromechanical gyroscopes is considered as a special class of information processing problems from two measurement sources. A novel algorithm used for processing the measurements data from two units of micromechanical gyroscopes is proposed, which can improve orientation system performance while reducing the requirements for external sensors. A mathematical error model of micromechanical gyroscopes and orientation system is given, considering the rotation of the measurement units, and the advantages of the proposed method is analyzed in comparison with other algorithms.

Keywords

micromechanical gyroscope inertial measuring unit complementary filter platform modulation rotation 

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References

  1. 1.
    Zel’dovich, S.M., Maltinskii, M.I., Okon, I.M. and Ostromukhov, Ya.G., Avtokompensatsiya instrumental’nykh pogreshnostei girosistem (Auto-compensation of Instrumental Errors in Gyro Systems), Leningrad, Sudostroenie, 1976.Google Scholar
  2. 2.
    Anuchin, O.N. and Emel’yantsev, G.I., Integrirovannye sistemy orientatsii i navigatsii dlya morskikh podvizhnykh ob”ektov (Integrated Systems of Orientation and Navigation for Marine Vehicles), St. Petersburg, CSRI Elektropribor, 2003.Google Scholar
  3. 3.
    Litvinenko, Yu.A., Optimization of algorithms of inertial navigation system of marine vehicles, Cand. Sci. (Eng.) Dissertation, St. Petersburg, CSRI Elektropribor, 2005.Google Scholar
  4. 4.
    Ishibashi, S., Tsukioka, S., Sawa, T. et al., The rotation control system to improve the accuracy of an inertial navigation system installed in an autonomous underwater vehicle, Proceedings of the Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies, April 2007, Tokyo, Japan, IEEE, pp. 495–498.Google Scholar
  5. 5.
    Kang, L., Ye, L., Song, K. and Zhou, Y., Attitude heading reference system using MEMS inertial sensors with dual-axis rotation, Sensors, 2014, vol. 14, pp. 18075–18095.CrossRefGoogle Scholar
  6. 6.
    Sun, F., Sun, W. and Guo, Z., Auto-compensation method of SINS based on IMU rotation, Chinese Journal of Scientific Instrument, 2009, vol. 30, no. 12.Google Scholar
  7. 7.
    Yuan, Z. and Zhao, L., Error analysis of rotary SINS sensor, Sensors & Transducers, 2013, vol. 156, no. 9.Google Scholar
  8. 8.
    Emel’yantsev, G.I., Litmanovich, Yu.A. and Moshkin, N.N., Improving information autonomy of marine SINS, Gyroscopy and Navigation, 2015, vol. 6, no. 1, pp. 9–15.CrossRefGoogle Scholar
  9. 9.
    Chen, J., Dong, J., Landry, R. and Chen, D., A novel optimal configuration form redundant MEMS inertial sensors based on the orthogonal rotation method, Sensors, 2014, no. 14(8), pp. 13661–13678.CrossRefGoogle Scholar
  10. 10.
    Guerrier, S., Waegli, A., Skaloud, J. and Victoria-Feser, M.-P., Fault detection and isolation in multiple MEMS-IMUs configurations, IEEE Aerosp. Electron, 2015, vol. 48, no. 3.Google Scholar
  11. 11.
    Chernodarov, A.V., Patrikeev, A.P., Borzov, A.B., Merkulova, I.I., Korkishko, Yu.N., Fedorov, V.A. and Fedorov, I.V., Seminatural development of multiposition inertial satellite navigation systems built around fiber-optic and micromechanical sensors, Proceedings of the 24th St. Petersburg International Conference on Integrated Navigation Systems, St. Petersburg, CSRI Elektropribor, 2017, pp. 148–151.Google Scholar
  12. 12.
    Liang, Q. and Litvinenko, Yu.A., Algorithms of inertial sensor errors estimation using two units of micromechanical gyroscopes, Materialy XVIII konferentsii molodykh uchenykh “Navigatsiya i upravlenie dvizheniem” (Proceedings of the 18th Conference of Young Scientists “Navigation and Motion Control”), St. Petersburg: Elektropribor, 2016, pp. 556–564.Google Scholar
  13. 13.
    Liang, Q. and Litvinenko, Yu.A., Algorithm for solving the orientation problem using two units of micromechanical gyroscopes, Sbornik trudov XXV Mezhdunarodnoi nauchno-tekhnicheskoi konferentsii “Sovremennye tekhnologii v zadachakh upravleniya, avtomatiki i obrabotki informatsii (Proceedings of the 25th International Scientific and Technical Conference "Modern technologies in Control, Automation and Information Processing Applications”), 2016, p. 171.Google Scholar
  14. 14.
    Euston, M., Coote, P., Mahony, R., Kim, J. and Hamel, T., A complementary filter for attitude estimation of a fixed-wing UAV, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Nice, France, 2008, pp. 340–345.Google Scholar
  15. 15.
    Stepanov, O.A., Osnovy teorii otsenivaniya s prilozheniyami k zadacham obrabotki navigatsionnoi informatsii (Fundamentals of the Estimation Theory with Applications to the Problems of Navigation Information Processing), St. Petersburg, CSRI Elektropribor, 2010.Google Scholar
  16. 16.
    Vasconcelos, J.F., Cardeira, B., Silvestre, C., Oliveira, P. and Batista, P.T.M., Discrete-time complementary filters for attitude and position estimation: design, analysis and experimental validation, IEEE Transactions on Control Systems Technology, 2011, vol. 19, no. 1, pp. 181–198.CrossRefGoogle Scholar
  17. 17.
    Stepanov, O.A. and Mansour, M., Integrated processing algorithms for correction of navigation system using nonlinear measurements, Izvestiya Tul’skogo gosudarstvennogo universiteta. Tekhnicheskie nauki [Tula State University News Bulletin. Engineering Sciences], 2016, no. 6, pp. 89–102.Google Scholar
  18. 18.
    Chen, Y., Wang, L. and Li, K., A self-calibration method in single-axis rotational inertial navigation system with rotating mechanism, Proc. SPIE 10463, AOPC 2017: Space Optics and Earth Imaging and Space Navigation, October 2017.Google Scholar
  19. 19.
    Julier, S.J. and Uhlmann, J.K., Unscented filtering and nonlinear estimation, Proceedings of the IEEE, 2004, no. 92, pp. 401–422.CrossRefGoogle Scholar
  20. 20.
    Liang, Q., Litvinenko, Y.A. and Stepanov, O.A., Analyzing the error observability of an orientation system based on two rotation units of micromechanical gyroscopes, 2017 IEEE II International Conference on Control in Technical Systems (CTS), St. Petersburg, 2017, pp. 236–239.CrossRefGoogle Scholar
  21. 21.
    InvenSense MPU-6000 and MPU-6050 Product Specification, available at: https://doi.org/store.invensense.com/datasheets/invensense/MPU-6050_DataSheet_V3%204.pdf

Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  • Q. Liang
    • 2
    Email author
  • Yu. A. Litvinenko
    • 1
    • 2
  • O. A. Stepanov
    • 1
    • 2
  1. 1.Concern CSRI ElektropriborJSCSaint PetersburgRussia
  2. 2.ITMO UniversitySaint PetersburgRussia

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