A fiber optic gyro error compensation method based on wavelet neural network

doi:10.3788/CO.20181106.1024

CIOMP OpenIR

	A fiber optic gyro error compensation method based on wavelet neural network
	Qian, Wei-Zhu; Yang, Li-Bao
	2018
发表期刊	Chinese Optics
ISSN	20951531
卷号	11 期号:6 页码:1024-1031
摘要	In order to improve the measurement accuracy of fiber optic gyroscope, an error compensation method based on wavelet neural network(WNN) is proposed. Firstly, the main trend term in the gyro signal is extracted by the Mallat decomposition algorithm in wavelet analysis, and the error residuals are reconstructed. The reconstructed signal is then used as the target output of the wavelet neural network, and the original gyro signal is used as the training input. In order to improve the training speed of the WNN and prevent it from falling into local minimum values, the method of increasing the momentum factor and adaptively adjusting the learning rate is used. The neural network model established after training has a good ability to estimate the fiber optic gyro error. The final result shows that after the compensation by the WNN method, the output precision of the fiber optic gyroscope reaches 0.0194/s, which improves the measurement performance of the fiber optic gyroscope. 2018, China Science Publishing & Media LTD. All right reserved.
关键词	Fiber optics Error compensation Fibers Gyroscopes Wavelet analysis Wavelet decomposition
DOI	10.3788/CO.20181106.1024
收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60558
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Qian, Wei-Zhu,Yang, Li-Bao. A fiber optic gyro error compensation method based on wavelet neural network[J]. Chinese Optics,2018,11(6):1024-1031.
APA	Qian, Wei-Zhu,&Yang, Li-Bao.(2018).A fiber optic gyro error compensation method based on wavelet neural network.Chinese Optics,11(6),1024-1031.
MLA	Qian, Wei-Zhu,et al."A fiber optic gyro error compensation method based on wavelet neural network".Chinese Optics 11.6(2018):1024-1031.

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