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基于FLANN的磁通门总场梯度计误差校正
引用本文:黄玉,郝燕玲.基于FLANN的磁通门总场梯度计误差校正[J].华中科技大学学报(自然科学版),2011(5):83-87.
作者姓名:黄玉  郝燕玲
作者单位:哈尔滨工程大学理学院;哈尔滨工程大学自动化学院;
基金项目:国家自然科学基金资助项目(60775001,61004130,60834005)
摘    要:针对磁通门磁力计轴间非正交、对应轴指向偏差、灵敏度不一致及零点漂移所引起的误差会降低总场梯度计的测量精度问题,建立了磁通门总场梯度计的测量误差模型,提出了一种基于函数链接型神经网络(FLANN)的总场梯度计误差校正方法,将2个磁场力计实际输出分别通过校正模型以构成理想的2个三轴磁力计,使输出与待测量一致.数值仿真及实验测试均证明了校正方法具有良好的收敛性,能显著地抑制总场梯度测量误差.

关 键 词:总场梯度计  误差校正  三轴磁力计  函数链接型神经网络  辨识

Correction of fluxgate total field gradiometer based on FLANN
Huang Yua,b Hao Yanlingb.Correction of fluxgate total field gradiometer based on FLANN[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2011(5):83-87.
Authors:Huang Yua  b Hao Yanlingb
Institution:Huang Yu~a,b Hao Yanling~b(a College of Science,b College of Automation,Harbin Engineering Un iversity,Harbin 150001,China)
Abstract:The errors caused by nonorthogonality,different sens it ivities,and zero-shifts among three axes and inconsistent direction of corresp onding axis for fluxgate magnetometers can reduce the accuracy of total field gr adiometer,so it is necessary to correct these errors and to compensate total fi eld gradient measured by imperfect gradiometer.A measurement error model for fl uxgate total field gradiometer was established,and its error correction method based on functional link artificial neural network(FLANN)...
Keywords:total field gradiometer  error correction  tri-axial magnetometer  functional link artificial neural network  identification  
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