DOI: 10.17586/2226-1494-2017-17-3-380-386


ATMOSPHERE PRESSURE EFFECT ON THE FIBER OPTIC GYROSCOPE OUTPUT SIGNAL

I. A. Sharkov, A. V. Vinogradov, V. N. Kozlov , V. E. Strigalev, N. E. Kikilich


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For citation: Sharkov I.A., Vinogradov A.V., Kozlov V.N., Strigalev V.E., Kikilich N.E. Atmosphere pressure effect on the fiber optic gyroscope output sygnal. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2017, vol. 17, no. 3, pp. 380–386 (in Russian). doi: 10.17586/2226-1494-2017-17-3-380-386

Abstract

The paper describes research results of the atmospheric pressure effect on the output signal of a fiber optic gyroscope (FOG). In the course of experiments, FOG was placed into a hermetic chamber. The atmosphere pressure was varying in the range from 0.8 to 1.5 atm. All the data, including the FOG output signal, temperature, and data from the pressure sensor installed inside the FOG, were synchronously registered with the computer software. The separation of scale factor change from zero offset in the experiment was carried out by setting the sensitive FOG axis at 0°, 90° and 270° relative to the East (the FOG was set perpendicular to the horizon). After the data processing it was concluded that the FOG signal error associated with the pressure affects mainly on the additive component. The pressure effect on the multiplicative component appeared to be negligible at rotational velocities used in the experiment (0 - 130/h). At the same time, the FOG signal has a high linear correlation coefficient with the derivative of pressure over time (in some cases, more than 0.9). The experiment was repeated several times and the high degree of the drift repeatability was shown. That makes it possible to implement the compensation algorithm. Application of the simplest algorithmic compensation based on the polynomial of the first degree (ax + b) enabled to reduce the root-mean-square (RMS) and drift of the signal by 2-9 times.


Keywords: fiber optic gyro, fiber loop, zero offset, atmosphere pressure effect, algorithmic compensation

Acknowledgements. The work was supported by the Russian Federation Ministry of Education and Science, contract No. 14.578.21.0109 dated 27.10.2015.

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