doi: 10.17586/2226-1494-2021-21-6-817-822


Estimation of temperature detection delay in a fiber optic gyroscope sensing coil. 

D. S. Smirnov, I. G. Deyneka, D. R. Devetyarov, P. V. Skliarov, A. B. Mukhtubayev, E. V. Vostrikov


Read the full article  ';
Article in Russian

For citation:
Smirnov D.S., Deyneka I.G., Devetyarov D.R., Skliarov Ph.V., Mukhtubayev A.B., Vostrikov E.V. Estimation of temperature detection delay in a fiber optic gyroscope sensing coil. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2021, vol. 21, no. 6, pp. 817–822 (in Russian). doi:10.17586/2226-1494-2021-21-6-817-822


Abstract
The use of algorithmic temperature compensation requires that the external temperature sensor data and the thermal response of the fiber optic sensor should be synchronized. The paper considers an approach to estimate the temperature detection delay for the external temperature sensor in a sensing coil assembly of a fiber-optic gyroscope. The delay estimation is based on a cross-correlation of temperature data from an external temperature sensor and temperature data of an optical fiber segment obtained by distributed temperature measurement based on optical frequency reflectometry. The results include the estimation of temperature detection delay between the sensing coil and the temperature sensor. The described approach allows evaluating temperature detection delay in a sensing coil assembly of a fiber-optic gyroscope. In case of using multiple temperature sensors, the delay for each temperature sensor can be estimated and taken into account to improve the efficiency of the thermal drift compensation of the fiber optic gyroscope.

Keywords: fiber-optic sensors, fiber-optic reflectometry, temperature measurement, temperature detection delay, fiber-optic gyroscope

Acknowledgements. This work was done at ITMO University and was supported by the Ministry of Science and Higher Education of the Russian Federation under the Agreement No. 075-11-2019-026 dated 27.11.2019, the project title: “The production development of fiber-optic gyroscopes for applications in measuring instruments and land vehicle systems”.

References
  1. Lefevre H.C. The Fiber-Optic Gyroscope. Boston: Artech House, 2014. 416 p.
  2. Savin M.A. Mathematical modeling of the drift of a fiber-optic gyroscope under external influence. Dissertation for the degree of candidate of technical sciences. Perm, Perm National Research Polytechnic University, 2018. Available at: https://pstu.ru/files/2/file/adm/dissertacii/savin/diss_SavinMA_red25072018.pdf (accessed: 22.10.2021). (in Russian)
  3. Nikiforovskii D., Smirnov D., Deyneka I., Nikitenko A., Rupasov A. The investigation of FOG output signal dependency on environment temperature at high rates of temperature change.Journal of Physics: Conference Series, 2021, vol. 1864, no. 1, pp. 012009. https://doi.org/10.1088/1742-6596/1864/1/012009
  4. Klimkovich B.V. Effect of Random Error of Temperature Sensors on the Quality of Temperature Compensation of FOG Bias by a Neural Network. Gyroscopy and Navigation, 2021, vol. 12, no. 1, pp. 27–37. https://doi.org/10.1134/S2075108721010089
  5. Wang G., Wang O., Zhao B., Wang Z. Compensation method for temperature error of fiber optical gyroscope based on relevance vector machine. Applied Optics, 2016, vol. 55, no. 5, pp. 1061–1066. https://doi.org/10.1364/ao.55.001061
  6. Jianli L., Feng J., Jiancheng F., Junchao C. Temperature error modeling of RLG based on neural network optimized by pso and regularization. IEEE Sensors Journal, 2014, vol. 14, no. 3, pp. 912–919. https://doi.org/10.1109/JSEN.2013.2290699
  7. Vahrameev E.I., Galyagin K.S., Oshivalov M.A., Savin M.A. Method of numerical prediction and correction of thermal drift of the fiber-optic gyro. Journal of Instrument Engineering, 2017, vol. 60, no. 1, pp. 32–38. (in Russian). https://doi.org/10.17586/0021-3454-2017-60-1-32-38
  8. Wei X.-T., Liu Y.-Y., Yang G.-L., Zhang W. Analysis of time delay in modeling and compensation of temperature error for FOG. Proc. of the International Conference on Energy Development and Environmental Protection (EDEP), 2016,pp. 159–165. https://doi.org/10.12783/dteees/edep2016/5891
  9. Smirnov D., Deyneka I., Kulikov A., Strigalev V., Meshkovsky I. Methods for studying temperature characteristics of a FOG sensing coil. Proc. of the 28th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS 2021), 2021, pp. 27–28. https://doi.org/10.23919/icins43216.2021.9470869
  10. Feng W., Shi H.. Xu B., Ding D. Multi-factor fiber coil temperature distribution model of FOG based on distributed fiber temperature sensor.Proceedings of SPIE, 2017, vol. 10460,pp. 104601H. https://doi.org/10.1117/12.2285247
  11. Lu P., Lalam N., Badar M., Liu B., Chorpening B.T., Buric M.P., Ohodnicki P.R. Distributed optical fiber sensing: Review and perspective.Applied Physics Reviews, 2019, vol. 6, no. 4,pp. 041302. https://doi.org/10.1063/1.5113955
  12. Luna Technologies. OBR 4600 Optical Backscatter Reflectometer. Available at: https://lunainc.com/sites/default/files/assets/files/resource-library/LUNA-Data-Sheet-OBR-4600-V2.pdf (accessed:22.10.2021).
  13. Ito F., Fan X., Koshikiya Y. Long-range coherent OFDR with light source phase noise compensation.Journal of Lightwave Technology, 2012, vol. 30,no. 8, pp. 1015–1024. https://doi.org/10.1109/JLT.2011.2167598
  14. Froggatt M.E. Distributed strain and temperature discrimination in polarization maintaining fiber. Patent US7538883B2, 2009.
  15. Roman M., Balogun D., Zhuang Y., Gerald R.E., II, Bartlett L., O’malley R.J., Huang J. A spatially distributed fiber-optic temperature sensor for applications in the steel industry. Sensors (Switzerland), 2020, vol. 20, no. 14, pp. 3900. https://doi.org/10.3390/s20143900
  16. MukhtubaevA.B. Thepolarizationcross-couplinginfluenceontheSagnacphaseshiftinafiber-opticgyroscope. Academic dissertation сandidate of engineering. St. Petersburg, ITMO University, 2020. Available at: http://fppo.ifmo.ru/?page1=16&page2=86&number_file=6F1DE8633558BE5ACD4EC3B79AE202EE(accessed: 22.10.2021). (in Russian)
  17. Nonikov R.L. Technological Equipment and Quality Improvement Methods of Fiber Loop Winding for Fiber-Optic Gyroscope. Dissertation for the degree of candidate of technical sciences. St. Petersburg, NIU ITMO, 2014. Available at: http://fppo.ifmo.ru/?page1=16&page2=86&number_file=5B9F43C6ABB5A25253C8F251731F87E1(accessed: 22.10.2021). (in Russian)
  18. Zhang Z., Yu F. Analysis for the thermal performance of a modified quadrupolar fiber coil. Optical Engineering, 2018, vol. 57, no. 1, pp. 017109. https://doi.org/10.1117/1.oe.57.1.017109
  19. Untilova A.A., Egorova D.A., Rupasova A.V., Novikova R.L., Neforosnyia S.T., Azbelevaa M.P., Dranitsynaa E.V. Results of fiber-optic gyro testing. Gyroscopy and Navigation, 2018, vol. 9, no. 1, pp. 45–49. https://doi.org/10.1134/S207510871801008X
  20. Rupasov A.V. Investigation of the method of local temperature impact and its application to compensate for the drift of a fiber-optic gyroscope. Dissertation for the degree of candidate of technical sciences. St. Petersburg, NIU ITMO, 2014. Available at: http://fppo.ifmo.ru/?page1=16&page2=86&number_file=03FA365A54B1D83E9595BF5311453B5D(accessed: 22.10.2021). (in Russian)


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Copyright 2001-2022 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.
All rights reserved.

Яндекс.Метрика