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

doi:10.3788/CO.20181106.1024

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	A fiber optic gyro error compensation method based on wavelet neural network
	Qian, Wei-Zhu; Yang, Li-Bao
刊名	Chinese Optics
	2018
卷号	11 期号:6 页码:1024-1031
关键词	Fiber optics Error compensation Fibers Gyroscopes Wavelet analysis Wavelet decomposition
ISSN号	20951531
DOI	10.3788/CO.20181106.1024
英文摘要	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.
内容类型	期刊论文
源URL	[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.