A fiber optic gyro error compensation method based on wavelet neural network
文献类型：期刊论文
| 作者 | Qian, Wei-Zhu; Yang, Li-Bao |
| 刊名 | Chinese Optics
 |
| 出版日期 | 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. |
| 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. |
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