Redundant information processing techniques comparison for differential vibratory gyroscope

Authors

DOI:

https://doi.org/10.15587/1729-4061.2016.75206

Keywords:

differential vibratory gyro, “virtual” gyro technology, bias, correlation matrix

Abstract

Advantages of differential Coriolis vibratory gyroscope of the new type with two measuring channels of angle rate with opposite signs that provides redundant measuring information about angle rate are analyzed. Comparative analysis of four different techniques of redundant signals processing including technology of “virtual” gyro signals processing in application to the differential vibratory gyroscope is carried out.

Importance of creation of redundant information processing techniques is caused by distinction of the differential vibratory gyroscope from other micro­electro­mechanical gyros, for example, tuning fork gyro, in that it has two output signals, which come from the single resonator and correspond to angle rates with opposite signs.

As a result redundant output information processing techniques were obtained. This information comes from the differential vibratory gyroscope output and is formed by subtracting of two measuring channel signals. The algorithm of “virtual” gyro redundant output information processing was modified. The algorithm differs from known ones by calculation of inter­channel correlation matrix in on­line manner. This leads to decrease of angle rate measuring random error and to decrease overshoot in conditions of abrupt change of angle rate.

The obtained results are important and useful for application of differential vibratory gyroscopes in stabilization systems and angular motion control. This is caused by high requirements to accuracy and ability to function in hash environment.

Author Biographies

Valerii Chikovani, National Aviation University Komarov ave., 1, Kyiv, Ukraine, 03058

Doctor of Technical Sciences, professor

Aircraft Control Systems Department

Olha Sushchenko, National Aviation University 1 Komarov ave., Kyiv, Ukraine, 03058

Doctor of Technical Sciences, professor

Aircraft Control Systems Department

Hanna Tsiruk, National Aviation University Komarov ave., 1, Kyiv, Ukraine, 03058

Aircraft Control Systems Department

References

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  2. 2. Wang, W., Lv, X., Sun, F. (2013). Design of a novel MEMS gyroscope array. Sensors, 13 (2), 1651–1663. doi: 10.3390/s130201651
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  18. 1. Chikovani, V.V. (2014). Trends of Ukrainian All Digital Coriolis Vibratory Gyroscopes Development. Institute of Electrical & Electronics Engineers (IEEE). Kiev,25–28. doi:10.1109/msnmc.2014.6979720
  19. 2. Wang, W., Lv, X., Sun, F. (2013). Design of a novel MEMS gyroscope array. Sensors, 13 (2), 1651–1663. doi: 10.3390/s130201651
  20. 3. Xue, L., Wang, L., Xiong, T., Jiang, C., Yuan, W. (2014). Analysis of Dynamic Performance of a Kalman Filter for Combining Multiple MEMS Gyroscopes. Micromachines, 5 (4), 1034–1050. doi: 10.3390/mi5041034
  21. 4. Ting, T. O., Man, K. L., Lei, C.-U., Lu, C. (2014). State-of-Charge for Battery Management System via Kalman Filter. Engineering Letters, 22 (2), 75–82.
  22. 5. Chaudhuri, S. S., Konar, A. (2007). Vision Based Target-Tracking Realized with Mobile Robots using Extended Kalman Filter. Engineering Letters, 14 (1), 176–184.
  23. 6. Jiang, C., Xue, L., Chang, H., Yuan, G., Yuan, W. (2012). Signal Processing of MEMS Gyroscope Arrays to Improve Accuracy Using a 1st Order Markov for Rate Signal Modeling. Sensors, 12 (12), 1720–1737. doi: 10.3390/s120201720
  24. 7. Liu, J., Shen, Q., Qin,W. (2015). Signal Processing Technique for Combining Numerous MEMS Gyroscopes Based on Dynamic Conditional Correlation. Micromachines, 6 (6), 684–689. doi: 10.3390/mi6060684
  25. 8. Ji, X. (2015). Research on Signal Processing of MEMS Gyro Array. Mathematical Problems in Engineering, 2015, 1–6. doi: 10.1155/2015/120954
  26. 9. Bayard, D.S., Ploen, S. R. (2015). Patent No.US 10/383,475. High Accuracy Inertial Sensors from Inexpensive Components. No.6882964B2, declared: 06.03.2003; published: 19.04.2015.
  27. 10. Chikovani, V. V., Umakhanov, T. O., Marusyk, P. I. (2008). The Compensated Differential CVG. In Proceedings of Symposium Gyro Technology. University of Karlsruhe, Germany, 3.1–3.8.
  28. 11. Chikovani, V. V. (2013). PatentNo. 95709. MPK. G01С 19/02. Metod vimiryuvannya kutovoi shvidkosti Koriolosovim vibratsiynim giroskopom. No.a201001344, declared:25.08.2011; published: 26.06.2013, Buyl. № 16.
  29. 12. Chikovani, V.V., Tsiruk, H.V. (2015). Differential Mode of Operation For Multimode Vibratory Gyroscope. Institute of Electrical & Electronics Engineers (IEEE). Kiev,87–90. doi: 10.1109/apuavd.2015.7346568
  30. 13. Trusov, A. A., Rozelle, D. M., Atikyan, G., Zotov, S. A., Simon, B. R., Shkel, A. M., Meyer, A. D. (2014). Non-Axisymmetric Coriolis Vibratory Gyroscope With Whole Angle, Force Rebalance, and Self-Calibration. Solid-State Sensors, Actuators and Microsystems. Workshop Hilton Head Island, South Carolina, 419–422.
  31. 14. Gregory, J., Cho, J., Najafi, K. (2012). Characterization and Control of a High-Q MEMS Inertial Sensor Using Low-Cost Hardware. Institute of Electrical & Electronics Engineers (IEEE). Myrtle Beach, S.C., 239–247. doi: 10.1109/plans.2012.6236886
  32. 15. Chikovani, V. V., Suschenko, O. A. (2014). Differential mode of operation for ring-like resonator CVG. Institute of Electrical & Electronics Engineers (IEEE). Kiev, 451–455. doi: 10.1109/elnano.2014.6873426
  33. 16. Lynch, D. D. (1998). Coriolis Vibratory Gyros. In Proceedings of Simposium Gyro Technology. University of Karlsruhe, Germany, 1.1–1.14.
  34. 17. Lynch, D. D. (1995). Vibratory gyro analysis by the method of averaging. Gyroscopic Technology and Navigation. Scientific Council of the Russian Academy of Sciences on the Traffic Control and Navigation Problems. Sankt-Peterburg, 26–34.

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Published

2016-08-24

How to Cite

Chikovani, V., Sushchenko, O., & Tsiruk, H. (2016). Redundant information processing techniques comparison for differential vibratory gyroscope. Eastern-European Journal of Enterprise Technologies, 4(7(82), 45–52. https://doi.org/10.15587/1729-4061.2016.75206

Issue

Vol. 4 No. 7(82) (2016): Applied mechanics

Section

Applied mechanics

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Copyright (c) 2016 Valerii Chikovani, Olha Sushchenko, Hanna Tsiruk

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