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基于BP神经网络的磁通门传感器温度误差补偿
引用本文:庞鸿锋,罗诗途,陈棣湘,潘孟春,张琦.基于BP神经网络的磁通门传感器温度误差补偿[J].测试技术学报,2011,25(3):278-282.
作者姓名:庞鸿锋  罗诗途  陈棣湘  潘孟春  张琦
作者单位:国防科学技术大学机电工程与自动化学院,湖南长沙,410073
摘    要:三轴磁通门传感器受温度影响明显,严重影响其测量准确度,需要研究补偿方法,提高测量准确性.在不同磁场环境下,利用无磁高低温试验箱对传感器输出值温度特性进行了测试,并采用BP神经网络的方法进行温度补偿.分别阐述了设备操作过程及数据处理方式.采集传感器在不同温度下的测量数据样本;将BP神经网络应用于温度误差模型的非线性辨识,...

关 键 词:磁通门传感器  BP神经网络  非线性逼近  温度误差  补偿

Temperature Compensation of Fluxgate Magnetometer Based on BP Neural Network
PANG Hongfeng,LUO Shitu,CHEN Dixiang,PAN Mengchun,ZHANG Qi.Temperature Compensation of Fluxgate Magnetometer Based on BP Neural Network[J].Journal of Test and Measurement Techol,2011,25(3):278-282.
Authors:PANG Hongfeng  LUO Shitu  CHEN Dixiang  PAN Mengchun  ZHANG Qi
Affiliation:PANG Hongfeng,LUO Shitu,CHEN Dixiang,PAN Mengchun,ZHANG Qi(College of Mechatronics Engineering and Automation,National University of Defense Technology,Changsha 410073,China)
Abstract:Accuracy of fluxgate magnetometers is badly influenced by temperature change.Temperature characteristic of magnetometer output was researched in different magnetic circumstances by nonmagnetic temperature experiment box,and then,BP Neural Network was used to compensate error caused by temperature.Experimental process and data processing method were introduced in detail.Firstly,sample data were obtained at different temperatures.Then,BP Neural Network was used in temperature error modeling and compensation n...
Keywords:fluxgate magnetometers  BP neural Network  nonlinear approach  temperature error  compensation  
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