基于最小二乘辨识的单轴陀螺参数标定方法

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英文篇名：Uniaxial Gyroscope Parameters Calibration Based on Least Squares Identification 作者：李小平 ; 雷泷杰 ; 陈超 ; 霍鹏飞 ; 施坤林 英文作者：LI Xiaoping;LEI Longjie;CHEN Chao;HUO Pengfei;SHI Kunlin;Xi'an Institute of Electromechanical Information Technology; 关键词：最小二乘辨识 ; 单轴陀螺 ; 参数标定 英文关键词：least square identification;;uniaxial gyro;;parameter calibration 中文刊名：XDYX 英文刊名：Journal of Detection & Control 机构：西安机电信息技术研究所; 出版日期：2019-06-26 出版单位：探测与控制学报 年：2019 期：v.41;No.194 语种：中文; 页：XDYX201903019 页数：4 CN：03 ISSN：61-1316/TJ 分类号：106-109

摘要

针对二维弹道修正引信滚转姿态测量中单轴陀螺参数标定结果误差较大的问题,提出了基于最小二乘辨识的单轴陀螺参数标定方法。该方法首先确定二维弹道修正引信单通道控制回路单轴陀螺标定参数及误差源;其次,建立了单轴陀螺角速率测量数学模型;最后,利用最小二乘辨识方法对模型参数进行辨识。仿真验证表明,基于最小二乘辨识的单轴陀螺参数标定方法与传统的标定方法相比,工程可实现性强,其标定结果更精确。
        Aiming at the problem that the calibration error of the uniaxial gyro parameters is large in the two-dimensional trajectory correction fuze roll attitude measurement, a method of calibration of the uniaxial gyro parameters based on the least squares identification was proposed. Firstly, the mathematical model of uniaxial gyro angular velocity measurement was established. Then, the least square identification method was used to identify the parameters of the model. The method was used to determine the parameters of the uniaxial gyro. Simulation results showed that the calibration method of uniaxial gyro based on the least squares identification was more realistic than the traditional calibration method, and the calibration result was more accurate.

引文

[1]Ahmed Elsaadany,Yi Wenjun.Accuracy improvement capability of advanced projectile based on course correction fuze concept[J].The Scientific World Journal,2014:1-10.
    [2]施坤林,黄峥,马宝华.国外引信技术发展趋势分析与加速发展我国引信技术的必要性[J].探测与控制学报,2005,27(3):1-5.
    [3]余勃彪,严平.弹道修正弹药现状及关键技术[J].四川兵工学报,2011,32(4):37-39.
    [3]赵玉清,李建强,刘言.弹道修正引信发展综述[J].探测与控制学报,2016,38(5):1-5.
    [5]赵玉清,田斌,谢增亮.弹道修正引信设计与发展趋势分析[J].四川兵工学报,2015,36(10):10-14.
    [6]顾东晴,秦永元,严恭敏.基于多元回归模型的捷联惯性测量组件标定技术[J].测控技术,2005,24(3):59-61.
    [7]党建军,罗建军,万彦辉.基于单轴速率转台的捷联惯测组合标定方法[J].航空学报,2010,31(4):806-811.
    [8]刘诗斌,陈露兰,张韦.一种基于磁传感器的MEMS陀螺标定方法[J].传感技术学报,2013(12):1700-1703.
    [9]唐加山,闫利超.SIMO系统最小二乘辨识估计量的统计特性[J].重庆邮电学院学报(自然科学版),2015,17(6):789-792.
    [10][美]夏天长.系统辨识——最小二乘法[M].熊光愣,李芳芸,译.北京:清华大学出版社,1983.