Optical field amplitude distribution on the pattern plate of optoelectronic system for measuring of dither system parameters in ring laser gyro

Aviev, A.A.; Enin, Vitaliy N.

doi:10.17586/2226-1494-2018-18-2-197-204

Cited by 2 publications

(1 citation statement)

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“…However, the domestic research on laser gyroscope is still in the stage of continuous exploration and learning, and there is still a large gap between the scientific research ability and the road of realising the localisation of laser gyroscope. The problems faced by the laser gyroscope at this stage are mainly reflected in the high cost caused by factors such as weight, volume and production technology (Hao et al, 2021;Tao et al, 2020;Aviev and Enin, 2018). At present, the commonly used error modelling methods of laser gyro include time series method, wavelet network, neural network and so on.…”

Section: Introductionmentioning

confidence: 99%

Zero-bias error compensation method of laser gyro based on neural network

Cui¹,

Cong²

2023

IJWMC

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Aiming at the problem that the accuracy of the current compensation model for laser gyro bias error is low, an improved RBFNN bias error compensation model of laser gyro is proposed. The standardisation constant and data centre of the original data are obtained through the self-organising feature mapping network. The sample centre of the new sample data is obtained by the fastest decline of the expected variance of OLS algorithm. The results show, the improved RBF neural network algorithm has the best performance. under normal temperature, temperature change rate of 1C/min and temperature change rate of 3C/min, the zero-bias range of laser gyro is 3.491-3.508C/h, 3.992-4.021C/h and 4.092-4.123C/h, respectively. The research results provide new reference suggestions for the zero bias temperature compensation scheme of laser gyro at different temperatures.

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Section: Introductionmentioning

confidence: 99%