基于多模型模糊融合的MEMS陀螺补偿方法
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  • 英文篇名:MEMS gyro compensation method based on multi-model fuzzy fusion
  • 作者:耿越 ; 雷旭升
  • 英文作者:GENG Yue;LEI Xusheng;School of Instrument Science and Opto-Electronic Engineering,Beihang University;
  • 关键词:多模型 ; 模糊融合 ; 微机电系统(MEMS)陀螺 ; 输出补偿
  • 英文关键词:multi-model;;fuzzy fusion;;micro-electro-mechanical system(MEMS) gyro;;output compensation
  • 中文刊名:CGQJ
  • 英文刊名:Transducer and Microsystem Technologies
  • 机构:北京航空航天大学仪器科学与光电工程学院;
  • 出版日期:2019-06-10
  • 出版单位:传感器与微系统
  • 年:2019
  • 期:v.38;No.328
  • 语种:中文;
  • 页:CGQJ201906013
  • 页数:3
  • CN:06
  • ISSN:23-1537/TN
  • 分类号:52-53+58
摘要
为了实现微机电系统(MEMS)陀螺的高精度补偿,本文借助分段线性拟合与多模型模糊融合的方法,得到了一种新的标定补偿算法。通过对各轴分段组合的标定数据进行拟合建立多组补偿模型,并通过角速率的隶属度函数的模糊加权实现多模型融合,得到随测量值变化的线性补偿模型,提高了陀螺输出补偿的精度。实验表明,该方法的补偿精度明显优于传统方法。其算法简单计算量小,易于在实际工程中应用。
        In order to realize the high precision compensation of micro-electro-mechanical system( MEMS) gyro,obtain a new calibration compensation algorithm by means of piecewise linear fitting and multi-model fuzzy fusion.Through fitting on piece-wise calibration data of each axis,the multi-group compensation model can be established. Multi-model fusion is achieved. With the fuzzy weighted of the membership function of angular velocity. Linear compensation model change with measurement value variation is obtained,output compensation precise of gyro is enhanced. The experimental results show that the proposed method is better than the traditional method. Its algorithm is simple,has a small amount of calculation,and easy to be used in practical engineering.
引文
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