Acta Geodaetica et Cartographica Sinica ›› 2025, Vol. 54 ›› Issue (6): 1021-1030.doi: 10.11947/j.AGCS.2025.20240467

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Fiber optic gyroscope total station temperature compensation algorithm based on BP neural network model

Chenxi ZOU1(), Zhen SHI2(), Di LIU1, Ziyi YANG1   

  1. 1.School of Geology and Geomatics, Chang'an University, Xi'an 710064, China
    2.School of Land Engineering, Chang'an University, Xi'an 710064, China
  • Received:2024-11-18 Revised:2025-05-14 Online:2025-07-14 Published:2025-07-14
  • Contact: Zhen SHI E-mail:2023126023@chd.edu.cn;shizhen@chd.edu.cn
  • About author:ZOU Chenxi (2001—), male, postgraduate, majors in precise engineering survey. E-mail: 2023126023@chd.edu.cn
  • Supported by:
    The National Natural Science Foundation of China(42474050);The Natural Science Basic Research Program of Shaanxi(2022JZ-17)

Abstract:

Fiber optic gyroscope total station can determine the geographic north direction by sensing earth rotation. However, it is found that the temperature change is an important factor affecting the accuracy and stability of the fiber optic gyroscope. Based on the correlation analysis between the output data of fiber optic gyroscope and the temperature, a BP neural network modeling temperature compensation method for fiber optic gyroscope is designed. The temperature compensation experiment is designed to verify the feasibility and validity of the model. Compared with the common polynomial model, the zero-bias stability of the compensated gyro output is improved to some extent. The method has been applied to a coal mine's north-seeking orientation measurement and obtained certain orientation effect by comparing with the result of traverse measurement.

Key words: fiber optic gyroscope, temperature compensation, BP neural network, Allan variance

CLC Number: