Research on temperature compensation technology for fiber optic gyroscopes based on FISCSO-BPNN model and temperature field modeling

Fiber optic gyroscopes (FOG) have been widely used in aerospace, aviation, navigation, and other fields due to their excellent performance, such as small size, light weight, fast response, and high precision. However, changes in environmental temperature significantly affect the output accuracy of fiber optic gyroscopes, limiting their application precision in complex environments. To effectively address this issue , a fusion temperature-based ISCSO-BPNN temperature compensation model (FISCSO-BPNN) was constructed by integrating the key temperature characteristic points, experimental set temperatures, and measured temperatures as inputs, with the gyroscope's bias data under temperature fluctuations as the output. Experimental results showed that the bias stability of the FISCSO-BPNN model improved by approximately 68.6% compared to the non-compensated scenario, and it outperformed the ISCSO-BPNN model in terms of compensation effectiveness.

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Publication Details

Published
2025-06-11
DOI
https://doi.org/10.1117/12.3065048
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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Research on temperature compensation technology for fiber optic gyroscopes based on FISCSO-BPNN model and temperature field modeling

Yunhao Zhang, Zhe Liang, Jin Liu, Zhi-Li Zhang et al.
Advanced Fiber Optic Sensors
article

Research on temperature compensation technology for fiber optic gyroscopes based on FISCSO-BPNN model and temperature field modeling

Yunhao Zhang, Zhe Liang, Jin Liu, Zhi-Li Zhang, Zhaofa Zhou
article en

Abstract

Fiber optic gyroscopes (FOG) have been widely used in aerospace, aviation, navigation, and other fields due to their excellent performance, such as small size, light weight, fast response, and high precision. However, changes in environmental temperature significantly affect the output accuracy of fiber optic gyroscopes, limiting their application precision in complex environments. To effectively address this issue , a fusion temperature-based ISCSO-BPNN temperature compensation model (FISCSO-BPNN) was constructed by integrating the key temperature characteristic points, experimental set temperatures, and measured temperatures as inputs, with the gyroscope's bias data under temperature fluctuations as the output. Experimental results showed that the bias stability of the FISCSO-BPNN model improved by approximately 68.6% compared to the non-compensated scenario, and it outperformed the ISCSO-BPNN model in terms of compensation effectiveness.

PLA Rocket Force University of Engineering (CN)
Affordable and clean energy
Openalex Percentile: Top 89%
Advanced Fiber Optic Sensors
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