光纤陀螺热致漂移误差的模糊补偿(英文)  

Fuzzy compensation of thermally induced bias drift in fiber optical gyro

作　　者：周琪[1] 秦永元[1] 成研[1] 赵长山[1] 

机构地区：[1]西北工业大学自动化学院,西安710072

出　　处：《中国惯性技术学报》2010年第4期471-475,共5页Journal of Chinese Inertial Technology

基　　金：国防科技预研项目(51309060401)

摘　　要：针对光纤陀螺启动过程中的热致漂移误差问题,研究了一种模糊模型补偿方案。依据Shupe非互易性理论和Mohr加热模型试验的结论,以光纤环内侧温度和温度变化率为输入,以陀螺漂移为输出,建立了二输入一输出模糊模型。利用全温范围(-25℃～45℃)内光纤陀螺的恒温静态试验数据,基于自适应神经网络模糊推理系统的自学习功能,辨识出模糊规则库。通过实时施行模糊推理可实现光纤陀螺温度漂移的在线自动补偿。室温验证试验表明,陀螺的零偏稳定性由补偿前的0.037(°)/h提高到0.017(°)/h,陀螺启动时间由补偿前的30 min减少为2 min。The thermally induced bias drift in the start-up phase（i.e.start-up bias drift） of fiber optical gyro（FOG） is investigated.And a fuzzy compensation model for the start-up bias drift is presented based on Shupe’s non-reciprocity theory and Mohr’s heating experiment result.The model takes the temperature and temperature rate of change at the inner side of the fiber coil as inputs.Based on the self-study function of Adaptive Neuro-Fuzzy Inference System（ANFIS）,the fuzzy rules of the compensation model are identified from the temperature measurement and the FOG outputs in static experiments（-25℃～45℃）.According to the rules identified,the start-up bias drift can be compensated on-line by performing the fuzzy inference.The verification experiment is conducted which shows that,after compensation by the proposed model,the FOG bias stability is increased from 0.037（°）/h to 0.017（°）/h,and the start-up time is shortened from 30 min to 2 min.

关 键 词：光纤陀螺 温度漂移 模糊模型 补偿 自适应神经模糊推理系统 

分 类 号：U666.1[交通运输工程—船舶及航道工程]