Xu Baoxiang, Xiong Zhi, Huang Jixun, Yu Haicheng. Research on method of improving magnetic field adaptability of high-precision IFOG[J]. Infrared and Laser Engineering, 2021, 50(4): 20200239. DOI: 10.3788/IRLA20200239
Citation: Xu Baoxiang, Xiong Zhi, Huang Jixun, Yu Haicheng. Research on method of improving magnetic field adaptability of high-precision IFOG[J]. Infrared and Laser Engineering, 2021, 50(4): 20200239. DOI: 10.3788/IRLA20200239

Research on method of improving magnetic field adaptability of high-precision IFOG

  • The magnetic non-reciprocity error of fiber coil is one of the main factors that restrict the application of high-precision IFOG, and the error is related to the strength of magnetic field and the twist rate of fiber. The magnetic field sensitivity of fiber coil is more than 10 (°)·h−1·Gs−1 due to the twisting of the fiber, even if permalloy is used to shield the magnetic field, the shielding effectiveness can only reach about 30 dB, which cannot meet the requirements of high-precision IFOG. The influence of the connection gap between shielding materials on shielding effectiveness was analysed by an equivalent circuit model and finite element simulation, the influence of the twist rate on the magnetic field sensitivity was deduced by formula. Through these analyses, the improvements were proposed that changed the connection of shielding materials from screw connection to laser welding and made the fiber de-twist. Through the measurement of fiber de-twist, the magnetic field sensitivity of the fiber coil was reduced by 89.3%; Through the improvement of laser welding, the shielding effectiveness was improved from 31 dB to at least 64 dB, the magnetic field sensitivity was reduced from 0.026 5 (°)·h−1·Gs−1 to less than 0.000 4 (°)·h−1·Gs−1, and the bias stability of the IFOG in different temperature was improved by more than 7.5%. These improvements can improve the precision of the fiber coil in the magnetic field and temperature environment, meeting the performance requirement of high-precision IFOG.
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