基于小波神经网络的光纤陀螺误差补偿方法

骞微著; 杨立保

doi:10.3788/CO.20181106.1024

Volume 11 Issue 6

Dec. 2018

Turn off MathJax

Article Contents

Abstract

References

Chinese Optics > 2018 > 11(6): 1024-1031.

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. doi: 10.3788/CO.20181106.1024

Citation:

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. doi: 10.3788/CO.20181106.1024

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. doi: 10.3788/CO.20181106.1024

Citation:

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. doi: 10.3788/CO.20181106.1024

PDF( 2016 KB)

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

doi: 10.3788/CO.20181106.1024

QIAN Wei-zhu^{1, 2
,},
YANG Li-bao^{1, 3
,
,}

1.
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
2.
University of Chinese Academy of Sciences, Beijing 100039, China
3.
College of Mechanical and Electric Engineering, Changchun University of Science and Technology, Changchun 130022, China

Funds:

National Natural Science Foundation of China 51275504

More Information

Corresponding author: YANG Li-bao, E-mail:yanglibao228@163.com
Received Date: 11 Nov 2017
Rev Recd Date: 13 Dec 2017
Publish Date: 01 Dec 2018

Abstract

Abstract

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.
- fiber optic gyro,
- wavelet neural network,
- wavelet analysis,
- error compensation,
- trend term extraction

FullText(HTML)

References(15)

References

[1]	徐丽娜, 邓正隆.SINS初始对准中光纤陀螺EMD滤波[J].中国光学, 2015, 8(6):933-941. http://www.chineseoptics.net.cn/CN/abstract/abstract9365.shtml XU L N, DENG ZH L. EMD filtering of fiber gyro in initial alignment of SINS[J]. Chinese Optics, 2015, 8(6):933-941.(in Chinese) http://www.chineseoptics.net.cn/CN/abstract/abstract9365.shtml
[2]	钱华明, 夏全喜, 阙兴涛, 等.基于Kalman滤波MEMS陀螺仪滤波算法[J].哈尔滨工程大学学报, 2010, 31(9):1217-1221. doi: 10.3969/j.issn.1006-7043.2010.09.015 QIAN H M, XIA Q X, QU X T, et al.. Algorithm for a MEMS gyroscope based on Kalman filter[J]. Journal of Harbin Engineering University, 2010, 31(9):1217-1221.(in Chinese) doi: 10.3969/j.issn.1006-7043.2010.09.015
[3]	林旻序, 汪永阳, 戴明, 等.线性加速度计在压电陀螺卡尔曼滤波技术中的应用[J].中国光学, 2011, 4(6):600-605. doi: 10.3969/j.issn.2095-1531.2011.06.009 LIN M X, WANG Y Y, DAI M, et al.. Application of linear accelerometer to Kalman filter for piezoelectric gyro[J]. Chinese Optics, 2011, 4(6):600-605.(in Chinese) doi: 10.3969/j.issn.2095-1531.2011.06.009
[4]	金靖, 张忠钢, 王峥, 等.基于RBF神经网络的数字闭环光纤陀螺温度误差补偿[J].光学精密工程, 2008, 16(2):235-240. http://d.old.wanfangdata.com.cn/Periodical/gxjmgc200802010 JIN J, ZHANG ZH G, WANG ZH, et al.. Temperature error compensation for digital closed-loop fiber optic gyroscope based on RBF neural network[J]. Opt. Precision Eng., 2008, 16(2):235-240.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/gxjmgc200802010
[5]	徐清雷, 邓正隆, 张传斌.光纤陀螺刻度因子的建模方法[J].光电工程, 2004, 31(12):4-7. doi: 10.3969/j.issn.1003-501X.2004.12.002 XU Q L, DENG ZH L, ZHANG CH B. Modeling method for scale factor of fiber optic gyroscope[J]. Opto-Electronic Engineering, 2004, 31(12):4-7.(in Chinese) doi: 10.3969/j.issn.1003-501X.2004.12.002
[6]	李颖, 陈兴林, 宋申民, 等.小波神经网络用于光纤陀螺漂移度误差辨识[J].光学精密工程, 2007, 15(5):773-778. doi: 10.3321/j.issn:1004-924X.2007.05.025 LI Y, CHEN X L, SONG SH M, et al.. Application of wavelet neural network for identification of drifts errors in fiber optical gyroscope[J]. Opt. Precision Eng., 2007, 15(5):773-778.(in Chinese) doi: 10.3321/j.issn:1004-924X.2007.05.025
[7]	NAVID GHAFFARZADEH. A new wavelet network based method to estimate the lighting-related risk of failure of power system apparatus[J]. Electrical Power and Energy System, 2016, 78:375-384. doi: 10.1016/j.ijepes.2015.11.109
[8]	汤霞清, 程旭伟, 郭礼斌, 等.小波分析和灰色神经网络融合的光纤陀螺误差建模与补偿[J].中国激光, 2012, 39(10):235-240. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK201204843711 TANG X Q, CHENG X W, GUO L B, et al.. Error modeling and compensation of fiber optic gyro scope based on wavelet analysis and grey neural network[J]. Chinese J. Lasers, 2012, 39(10):235-240.(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK201204843711
[9]	ZHANG Q H, BENVENSITE A. Wavelet Networks[J]. IEEE Transactions on Neural Networks, 1992, 3(6):889-898. doi: 10.1109/72.165591
[10]	丁玉美, 阔永红, 高新波.数字信号处理-时域离散随机信号处理[M].西安:西安电子科技大学出版社, 2002. DING Y M, KUO Y H, GAO X B. Digital Signal Processing-discrete Time Domain Random Signal Processing[M]. Xi'an:Xidian University Press, 2002.(in Chinese)
[11]	周哲, 庄良杰, 熊正南, 等.基于小波分析的陀螺漂移趋势项提取[J].中国惯性技术学报, 1999, 7(4):58-60, 69. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK199900835912 ZHOU ZH, ZHUANG L J, XIONG ZH N, et al.. Trend extraction of gyro's drift based on wavelet analysis[J]. Journal of Chinese Inertial Technology, 1999, 7(4):58-60, 69.(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK199900835912
[12]	方琳, 申冲, 陈熙源.基于小波多尺度变换的光纤陀螺振动误差与补偿[J].传感技术学报, 2012, 25(7):902-906. doi: 10.3969/j.issn.1004-1699.2012.07.007 FANG L, SHEN CH, CHEN X Y. Error analysis and compensation for fiber optic gyroscope under vibration based on wavelet multi-scale analysis[J]. Chinese Journal of Sensors and Actuators, 2012, 25(7):902-906.(in Chinese) doi: 10.3969/j.issn.1004-1699.2012.07.007
[13]	徐丽娜, 邓正隆.陀螺漂移特性的小波分析[J].中国惯性技术学报, 2001, 9(3):57-60. doi: 10.3969/j.issn.1005-6734.2001.03.012 XU L N, DENG ZH L. Wavelet analysis on gyro drift rate[J]. Journal of Chinese Inertial Technology, 2001, 9(3):57-60.(in Chinese) doi: 10.3969/j.issn.1005-6734.2001.03.012
[14]	高宁.陀螺漂移信号的小波去噪及其误差模型的研究[D].天津: 天津大学, 2003. http://cdmd.cnki.com.cn/Article/CDMD-10056-2004075085.htm GAO N. Research on the wavelet denosing and error modeling of gyro drift signal[D]. Tianjin: Tianjin University, 2003.(in Chinese) http://cdmd.cnki.com.cn/Article/CDMD-10056-2004075085.htm
[15]	高鹏毅.BP神经网络分类器优化技术研究[D].武汉: 华中科技大学, 2012. http://www.wanfangdata.com.cn/details/detail.do?_type=degree&id=D298043 GAO P Y. Study on the optimization of backpropagation neural network classifier[D]. Wuhan: Huazhong University of Science and Technology, 2012.(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=degree&id=D298043

Relative Articles

[1]	ZHAO Han-qi, LI Na, WU Bin, WU Gui-long, CHEN Yi-tong, FENG Xiao-fang, HE Pei-li, LI Wei. Nonlinear equalizer based on neural network in high-speed optical fiber communication systems[J]. Chinese Optics, 2025, 18(1): 114-120. doi: 10.37188/CO.2024-0114
[2]	垂直端面光波导形状缺陷的激光补偿[J]. Chinese Optics. doi: 10.37188/CO.2024-0220
[3]	FANG Yuan-xiang, JIANG Lun, PEI Hui-yi, WANG Jin-jiang, CUI Yong, ZHANG Jia-ming. Tilt error’s characteristic analysis of dual liquid crystal polarization grating system[J]. Chinese Optics, 2024, 17(6): 1387-1396. doi: 10.37188/CO.2024-0041
[4]	LI Bin, LIU Yin-ling, YANG A-kun, CHEN Mo. Broad-band co-phase detection based on denoising convolutional neural network[J]. Chinese Optics, 2024, 17(6): 1329-1339. doi: 10.37188/CO.2024-0079
[5]	CHEN Hui-bin, TANG Kai-fei, YOU Zhen-yu. Fully complex optical neural network with insertion-loss robustness[J]. Chinese Optics, 2024, 17(4): 834-841. doi: 10.37188/CO.2023-0198
[6]	ZHANG Kang-yang, NI Zi-hao, DONG Bo, BAI Yu-lei. Phase gradient estimation using Bayesian neural network[J]. Chinese Optics, 2024, 17(4): 842-851. doi: 10.37188/CO.2023-0168
[7]	ZHANG Jing-yuan, CHEN Bei-bei, YANG Yong-xing, ZHU Qing-sheng, LI Jin-peng, ZHAO Jin-biao. Positioning algorithm for laser spot center based on BP neural network and genetic algorithm[J]. Chinese Optics, 2023, 16(2): 407-414. doi: 10.37188/CO.2022-0084
[8]	ZHENG Yi-zhen, DAI Jian, ZHANG Tian, XU Kun. Multimodal feature fusion based on heterogeneous optical neural networks[J]. Chinese Optics, 2023, 16(6): 1343-1355. doi: 10.37188/CO.2023-0036
[9]	CAO Zhi-rui. Dynamic 3D measurement error compensation technology based on phase-shifting and fringe projection[J]. Chinese Optics, 2023, 16(1): 184-192. doi: 10.37188/CO.EN.2022-0004
[10]	CHEN Xiao-Dong, AI Da-Hang, ZHANG Jia-Chen, CAI Huai-Yu, CUI Ke-Rang. Gabor filter fusion network for pavement crack detection[J]. Chinese Optics, 2020, 13(6): 1293-1301. doi: 10.37188/CO.2020-0041
[11]	YU Hai, WAN Qiu-hua, SUN Ying, LU Xin-ran, JIA Xing-dan. A high precision image angular displacement measurement device with self-adaptive installation[J]. Chinese Optics, 2020, 13(3): 510-516. doi: 10.3788/CO.2019-0107
[12]	LIU Jun-hao, LI Rui-chen. Analysis of thermal drift in high performance interferometric fiber-optic gyroscopes[J]. Chinese Optics, 2020, 13(2): 333-343. doi: 10.3788/CO.20201302.0333
[13]	WANG Chun-zhe, AN Jun-she, JIANG Xiu-jie, XING Xiao-xue. Region proposal optimization algorithm based on convolutional neural networks[J]. Chinese Optics, 2019, 12(6): 1348-1361. doi: 10.3788/CO.20191206.1348
[14]	MENG Zhu, TAN Xin, Bayanheshig, WANG Wei, LIU Zhao-wu, ZHAO Xu-long. Effect and compensate of grating curvature radius error in Seya-Namioka monochromator[J]. Chinese Optics, 2018, 11(4): 623-629. doi: 10.3788/CO.20181104.0623
[15]	ZHANG Yu-lian, CHU Hai-Rong, ZHANG Hong-wei, ZHANG Ming-yue, CHEN Yang, LI Yin-hai. Characterists and compensation method of MEMS gyroscope random error[J]. Chinese Optics, 2016, 9(4): 501-510. doi: 10.3788/CO.20160904.0501
[16]	YANG Hong, ZHANG Zhan-yue, DING Wen-zhe, CHEN Feng. Position error analysis of double satellites optical observation system[J]. Chinese Optics, 2016, 9(4): 452-462. doi: 10.3788/CO.20160904.0452
[17]	YU Hai, WAN Qiu-hua, WANG Shu-jie, LU Xin-ran, DU Ying-cai. High-precision real-time angle reference in dynamic measurement of photoelectric encoder[J]. Chinese Optics, 2015, 8(3): 447-455. doi: 10.3788/CO.20150803.0447
[18]	PENG Li-rong, MA Zhan-long, WANG Gao-wen, WANG Fei, WANG Dong-fang. Key technology of ultra-thin optical element precision manufacture[J]. Chinese Optics, 2015, 8(6): 964-970. doi: 10.3788/CO.20150806.0964
[19]	WANG Yan-dong, YANG Chun-lei, DONG Wen-hui. EMD filtering of fiber gyro in initial alignment of SINS[J]. Chinese Optics, 2015, 8(6): 933-941. doi: 10.3788/CO.20150806.0933
[20]	XU Zhi-jun, HONG Xi, YU Xin. Improvement of precision of encoder[J]. Chinese Optics, 2008, 1(1): 62-65.

Supplements(0)

Cited By

Cited by

Periodical cited type(10)

1.	周江，陈扬，虞凌云. 基于效用函数的无源光网络动态带宽分配算法. 计算机与现代化. 2023(04): 106-110 .
2.	尚秋峰，张晓旭. 基于应变模态振型和误差补偿的形状重构方法. 半导体光电. 2023(04): 605-608 .
3.	许保祥，熊智，黄继勋，于海成. 提高高精度光纤陀螺磁场适应性的方法研究（英文）. 红外与激光工程. 2021(04): 232-239 .
4.	刘文超，郑小兵，王荣颖，李曦. 基于角速度估计的MEMS陀螺随机误差动态滤波方法. 电光与控制. 2021(05): 79-84 .
5.	李刚，陈祚，姜蓉. 基于红外传感器的运动目标位姿测量与误差分析. 激光杂志. 2020(03): 86-90 .
6.	贾朔，车昊，李洋，黄云川，张博闻，刘炳杰，刘子溪，朱宏娜. 基于BP神经网络的光纤陀螺误差补偿方法. 物理与工程. 2020(04): 116-120 .
7.	孙建波，潘幸华，杨良，陈万春，赵育善. 滑翔飞行器线性伪谱模型预测控制三维轨迹规划. 红外与激光工程. 2020(09): 325-331 .
8.	邓雅麒，王进成，郝兆钧，赵明阳. 光纤陀螺启动漂移补偿方法. 传感器与微系统. 2020(12): 61-63+67 .
9.	鲍晓娟，曹树伟，姜哓玲. 人工智能的光纤陀螺仪与影响参数间关系优化研究. 激光杂志. 2020(11): 153-157 .
10.	赵洪常，汪之国. 热传递对异面腔四频差动激光陀螺温度漂移补偿的影响. 红外与激光工程. 2019(09): 105-111 .

Other cited types(5)

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(7) / Tables(1)

Get Citation

PDF

XML

Article views(1622) PDF downloads(313)