光纤陀螺温度误差自适应神经模糊补偿方法

doi:10.3969/j.issn.1000-1093.2016.04.010

兵工学报 ›› 2016, Vol. 37 ›› Issue (4): 641-647.doi: 10.3969/j.issn.1000-1093.2016.04.010

光纤陀螺温度误差自适应神经模糊补偿方法

冯卡力，李安，覃方君，李峰

(海军工程大学电气工程学院, 湖北武汉 430033)

收稿日期:2015-06-24 修回日期:2015-06-24 上线日期:2016-06-20
通讯作者: 冯卡力 E-mail:fengkali@126.com
作者简介:冯卡力(1991—)，男，助教，硕士研究生
基金资助:
国防预先研究项目（4010103010101）

Temperature Error Compensation Method Based on Adaptive Neuro Fuzzy Inference for Fiber-optic Gyro

FENG Ka-li， LI An， QIN Fang-jun， LI Feng

(College of Electricity and Information Engineering, Naval University of Engineering, Wuhan 430033, Hubei, China)

Received:2015-06-24 Revised:2015-06-24 Online:2016-06-20
Contact: FENG Ka-li E-mail:fengkali@126.com

摘要/Abstract

摘要： 依据Shupe热致非互易性理论，研究光纤陀螺温度漂移产生机理，设计了-15 ℃～50 ℃温度范围内实验。将自适应神经模糊推理系统和分段建模思想相结合，以实测数据构建训练样本，建立光纤陀螺温度误差自适应神经模糊补偿模型。该模型解决了传统建模方法中模型适配性较差的问题，并有助于缩短陀螺进入稳态的时间。数据计算表明，用所建立的模型进行误差补偿后，温度漂移标准差降低了75.55%，补偿效果明显。

关键词: 控制科学与技术, 光纤陀螺, 温度漂移, 自适应神经模糊推理, 误差补偿, 分段建模

Abstract: According to Shupe thermally induced non-reciprocity noise theory, the mechanism of the temperature drift of fiber-optic gyro is researched, and a temperature experiment with range of -15～50 ℃ is designed. A temperature error compensation model based on adaptive neuro fuzzy inference for fiber-optic gyro is established by using the adaptive neuro fuzzy inference system and the piecewise modeling method and constructing the training sample from the measured data. The proposed model is used to solve the problem of poor model matching, and can help to shorten the time of the gyro entering into the steady state. The calculated results show that the standard deviation of the temperature drift is reduced by 75.55% after compensation with the proposed method.

Key words: control science and technology, fiber-optic gyro, temperature drift, adaptive neuro fuzzy inference, error compensation, piecewise modeling

中图分类号:

TG156

冯卡力，李安，覃方君，李峰. 光纤陀螺温度误差自适应神经模糊补偿方法[J]. 兵工学报, 2016, 37(4): 641-647.

FENG Ka-li， LI An， QIN Fang-jun， LI Feng. Temperature Error Compensation Method Based on Adaptive Neuro Fuzzy Inference for Fiber-optic Gyro[J]. Acta Armamentarii, 2016, 37(4): 641-647.

参考文献

［1］王超，吴刚，凌青，等. 光纤陀螺温度漂移与建模预测［J］. 电光与控制, 2015, 22(12):40-44.
WANG Chao, WU Gang, LING Qing, et al. Modeling and prediction of fiber optic gyro temperature drift［J］. Electronics Optics and Control, 2015, 22(12):40-44.(in Chinese)
［2］周琪，秦永元，赵长山. 光纤陀螺温度漂移误差的模糊补偿方案研究［J］. 传感技术学报, 2010, 23(7): 926-930.
ZHOU Qi, QIN Yong-yuan, ZHAO Chang-shan. Research on fuzzy compensation method of temperature drift for fiber optical gyro［J］. Chinese Journal of Sensors and Actuators, 2010, 23(7): 926-930.(in Chinese)
［3］韩冰，林玉荣，邓正隆. 光纤陀螺温度漂移误差的建模与补偿综述［J］.中国惯性技术学报, 2009, 17(2):218-224.
HAN Bing, LIN Yu-rong, DENG Zheng-long. Overview on modeling and compensation of FOG temperature drift ［J］. Journal of Chines Inertial Technology, 2009, 17(2):218-224.(in Chinese)
［4］韩正英，高涵，高业胜，等. 光纤环应力分布测试对光纤陀螺性能的影响［J］.红外与激光工程, 2014, 43(12):4128-4132.
HAN Zheng-ying, GAO Han, GAO Ye-sheng, et al. Effect of strain distribution measurement of fiber coil on fog performance［J］. Infrared and Laser Engineering, 2014, 43(12):4128-4132.(in Chinese)
［5］李京书，许江宁，查峰，等. 基于六类噪声项拟合的光纤陀螺噪声特性分析方法［J］. 兵工学报, 2013, 34(7):835-839.
LI Jing-shu, XU Jiang-ning, ZHA Feng, et al. Analysis method for the noise characteristics of fiber optic gyroscope based on fitting model of six noise items［J］. Acta Armamentarii, 2013, 34(7):835-839.(in Chinese)
［6］冯卡力，李安，覃方君. 基于多模型分段拟合的光纤陀螺温度误差补偿方法［J］. 中国惯性技术学报, 2014, 22(6):825-828.
FENG Ka-li, LI An, QIN Fang-jun. Temperature error compensation method for FOG based on multi-model piecewise fitting［J］.Journal of Chinese Inertial Technology, 2014, 22(6):825-828.(in Chinese)
［7］吕辰刚，张瑞峰，武星，等. 光纤环的热致非互易性噪声理论与实验研究［J］.传感技术学报, 2009, 22(6): 798-802.
LYU Chen-gang, ZHANG Rui-feng, WU Xing, et al. A theoretical and experimental study on thermal-induced non-reciprocity noise of fiber optical coil［J］. Chinese Journal of Sensors and Actuators, 2009, 22(6):798-802.(in Chinese)
［8］李锷，颜树华，周春雷，等. 光纤陀螺温度漂移与建模补偿［J］. 半导体光电, 2009, 30(4):517-520.
LI E, YAN Shu-hua, ZHOU Chun-lei, et al. Modeling and compensation for temperature drift of fiber optic gyroscope［J］. Semiconductor Optoelectronics, 2009, 30(4):517-520.(in Chinese)
［9］冯小虎，朱家海，谢聂，等. 基于ANFIS的激光陀螺晓噪处理研究［J］. 传感器与微系统, 2009, 28(1):18-21.
FENG Xiao-hu, ZHU Jia-hai, XIE Nie, et al. Investigation of de-noising in laser gyro based on ANFIS［J］. Transducer and Microsystem Technologies, 2009, 28(1):18-21.(in Chinese)
［10］赵曦晶，汪立新，何志昆，等. 基于改进模糊推理的光纤陀螺温度漂移建模［J］. 机械工程学报, 2014, 50(3):15-21.
ZHAO Xi-jing, WANG Li-xin, HE Zhi-kun, et al. Modeling of temperature drift based on improved fuzzy inference for fiber optic gyroscope［J］. Journal of Mechanical Engineering, 2014, 50(3): 15-21.(in Chinese)
［11］张德丰. MATLAB模糊系统设计［M］.北京:北京国防工业出版社, 2009:24-40.
ZHANG De-feng. Fuzzy system design based on Matlab［M］. Beijing: National Defense Industry Press, 2009: 24-40.(in Chinese)
［12］刘斌，王常虹，蔡美华. 基于自适应神经模糊推理系统的陀螺建模方法［J］. 中国惯性技术学报, 2009, 17(4):474-478.
LIU Bin, WANG Chang-hong, CAI Mei-hua. Modeling of gyroscope based on adaptive neuro-fuzzy inference system ［J］. Journal of Chinese Inertial Technology, 2009, 17(4):474-478.(in Chinese)

[1]	孙宁，夏艳，程行清. 基于光纤陀螺仪检测的精密温控装置优化设计[J]. 兵工学报, 2022, 43(4): 910-918.
[2]	许保祥, 熊智, 黄继勋, 于海成. 光纤固定胶粘剂对光纤陀螺低温零偏误差的影响[J]. 兵工学报, 2021, 42(6): 1223-1229.
[3]	周泉，姚敏立，沈晓卫. 基于支持度的椭球拟合微机械电子系统加速度计现场标定方法研究[J]. 兵工学报, 2020, 41(1): 68-74.
[4]	刘生攀, 王文举, 饶兴桥. 单轴旋转捷联惯性导航系统误差分析与转位方案研究[J]. 兵工学报, 2018, 39(9): 1749-1755.
[5]	苗建明，王少萍，范磊，李元. 欠驱动自主水下航行器空间曲线路径跟踪控制研究[J]. 兵工学报, 2017, 38(9): 1786-1796.
[6]	查峰，覃方君，李京书，叶斌. 三轴旋转惯性导航系统的旋转控制建模研究[J]. 兵工学报, 2017, 38(8): 1610-1618.
[7]	伍明，张国良，李琳琳，付光远，李承剑. 基于动态和静态环境对象观测一致性约束的移动机器人多传感器标定优化方法[J]. 兵工学报, 2017, 38(8): 1630-1641.
[8]	王世峰，都凯悦，孟颖，王锐. 基于机器学习的车辆路面类型识别技术研究[J]. 兵工学报, 2017, 38(8): 1642-1648.
[9]	周荻，董金鲁. 带襟翼的飞行器非线性控制系统分析和设计[J]. 兵工学报, 2017, 38(7): 1322-1329.
[10]	郑睿，赵伟，方明星，杜友武. 基于多圈环绕结构的超流体陀螺噪声抑制方法[J]. 兵工学报, 2017, 38(7): 1330-1335.
[11]	邢丽, 熊智, 刘建业, 杭义军. 基于对偶四元数的圆锥及划船误差补偿改进算法[J]. 兵工学报, 2017, 38(7): 1336-1347.
[12]	庞辉, 陈嘉楠, 刘凯. 汽车磁流变半主动悬架系统自适应反推跟踪控制[J]. 兵工学报, 2017, 38(7): 1430-1442.
[13]	马艳彤，郑荣，韩晓军. 面向海底光学探测使命的自治水下机器人水平路径跟随控制[J]. 兵工学报, 2017, 38(6): 1147-1153.
[14]	陈慧岩，陈舒平，龚建伟. 智能汽车横向控制方法研究综述[J]. 兵工学报, 2017, 38(6): 1203-1214.
[15]	廖自力，阳贵兵，高强，袁东. 多轮独立电驱动车辆转向稳定性集成控制研究[J]. 兵工学报, 2017, 38(5): 833-842.

光纤陀螺温度误差自适应神经模糊补偿方法

Temperature Error Compensation Method Based on Adaptive Neuro Fuzzy Inference for Fiber-optic Gyro

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价