Research on Thermal Induced Non-reciprocity in Fiber-optic Gyroscope with Double Optical Length

Hongjie, 徐宏杰 Xu; Wenyan, 张文艳 Zhang; Xiaobin, 徐小斌 Xu; Ningfang, 宋凝芳 Song

doi:10.3788/gzxb20144310.1006001

Cited by 2 publications

(1 citation statement)

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“…The temperature was main factors affecting the performance of optical-fiber gyro [1][2][3][4], the temperature change will lead to deviation from the original state of the optical-fiber gyro because of its optical element temperature sensitive character, which affects the output accuracy of the system, so the compensation about optical-fiber gyro zero bias caused by temperature change was most important problem to be solved to inertial navigation equipment based on optical-fiber gyro.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Compensation About Temperature Influence to Optical-Fiber Gyro Zero Bias

Zhou

Yang

Wang

et al. 2018

International Journal of Advanced Network, Monitoring and Controls

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Compared to other gyro the dynamic performance of optical-fiber gyro was better and the price was cheap. Optical-fiber gyro was suit to build SINS. By the way, zero bias of optical-fiber gyro was sensitive to temperature, and the compensation technique was a hot point in INS research. According to the above situation, based on one type opticalfiber gyro, the influence mechanism about temperature to optical-fiber gyro zero bias was studied, and a test method was designed, the experiment results was analyzed, finally based on multinomial simulation a compensation math model was established, and the research result discovered that temperature was a big influence to optical-fiber gyro zero bias, and it can be fixed by a compensation math model based on multinomial simulation.

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Section: Introductionmentioning

confidence: 99%

Analysis and Compensation About Temperature Influence to Optical-Fiber Gyro Zero Bias

Zhou

Yang

Wang

et al. 2018

International Journal of Advanced Network, Monitoring and Controls

View full text Add to dashboard Cite

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Temperature drift modeling and compensation of fiber optical gyroscope based on improved support vector machine and particle swarm optimization algorithms

Wang

Chen

2016

Appl. Opt.

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Modeling and compensation of temperature drift is an important method for improving the precision of fiber-optic gyroscopes (FOGs). In this paper, a new method of modeling and compensation for FOGs based on improved particle swarm optimization (PSO) and support vector machine (SVM) algorithms is proposed. The convergence speed and reliability of PSO are improved by introducing a dynamic inertia factor. The regression accuracy of SVM is improved by introducing a combined kernel function with four parameters and piecewise regression with fixed steps. The steps are as follows. First, the parameters of the combined kernel functions are optimized by the improved PSO algorithm. Second, the proposed kernel function of SVM is used to carry out piecewise regression, and the regression model is also obtained. Third, the temperature drift is compensated for by the regression data. The regression accuracy of the proposed method (in the case of mean square percentage error indicators) increased by 83.81% compared to the traditional SVM.

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Research on Thermal Induced Non-reciprocity in Fiber-optic Gyroscope with Double Optical Length

Cited by 2 publications

References 0 publications

Analysis and Compensation About Temperature Influence to Optical-Fiber Gyro Zero Bias

Analysis and Compensation About Temperature Influence to Optical-Fiber Gyro Zero Bias

Temperature drift modeling and compensation of fiber optical gyroscope based on improved support vector machine and particle swarm optimization algorithms

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