Modeling and simulation of digital closed-loop fiber optic gyroscope based on sigma-delta modulation

Jian Zhang; Hong Li; Jingtao Xin; Lianqing Zhu

doi:10.1117/12.2668296

20 April 2023 Modeling and simulation of digital closed-loop fiber optic gyroscope based on sigma-delta modulation

Jian Zhang, Hong Li, Jingtao Xin, Lianqing Zhu

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 1260222 (2023) https://doi.org/10.1117/12.2668296
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

This paper proposes a closed-loop fiber optic gyroscope control method based on the Sigma-delta modulation technique to improve the fiber optic gyroscope proportional-integral control method. Firstly, the sampling control system of digital closed-loop fiber optic gyro is established. Secondly, the fiber optic gyro digital closed-loop Sigma-delta modulator is designed and combined with the original system after the integrator. Simulation analysis is performed for both closed-loop control methods. Simulation results show that the maximum output noise amplitude of the original system is 2.8 deg/s and the maximum noise amplitude of the improved system is 0.8 deg/s under the input of a ramp signal with 100dB white noise. The noise amplitude is reduced by one order of magnitude, and the noise density is also significantly reduced. The proposed closed-loop control method of fiber optic gyro based on Sigma-delta modulation can effectively suppress the high-frequency noise of the weak signal of the gyro output, which has a promising application for the dynamic performance and noise suppression of fiber optic gyro.

Citation Download Citation

Jian Zhang, Hong Li, Jingtao Xin, and Lianqing Zhu "Modeling and simulation of digital closed-loop fiber optic gyroscope based on sigma-delta modulation", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 1260222 (20 April 2023); https://doi.org/10.1117/12.2668296

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KEYWORDS

Fiber optic gyroscopes

Modulation

Interference (communication)

Control systems

Gyroscopes

Signal detection

Tunable filters

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