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This study presents a new temperature-based modeling method for fiber-optic gyroscope (FOG) scale factor. The method significantly reduces nonlinear errors and environmental temperature dependency, improving FOG performance.

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Area of Science:

  • Instrumentation
  • Optical Engineering
  • Metrology

Background:

  • Fiber-optic gyroscopes (FOGs) are crucial for inertial navigation.
  • Scale factor nonlinearity and temperature dependency are key error sources in FOGs.
  • Existing modeling methods often lack precision across wide temperature ranges.

Purpose of the Study:

  • To develop a novel scale factor modeling method for FOGs.
  • To reduce nonlinear error and temperature dependency of the FOG scale factor.
  • To enhance the overall performance and reliability of FOGs in varying environments.

Main Methods:

  • A hyperbolic curve fitting approach was initially used for scale factor modeling under stable temperatures.
  • The hyperbolic curve fitting method was extended to incorporate temperature dependency.
  • Experimental validation was performed to verify the proposed modeling method.

Main Results:

  • A high-precision scale factor model for FOGs was successfully established.
  • The temperature dependency of the FOG scale factor was effectively minimized.
  • Environmental temperature-induced errors were reduced by at least one order of magnitude.

Conclusions:

  • The proposed temperature-based scale factor modeling method significantly improves FOG accuracy.
  • The method ensures reliable FOG performance across the entire operational temperature range.
  • This advancement contributes to more robust and precise inertial navigation systems.