Adaptive Calibration Algorithm of Three Axial Magnetic Fluxgate Sensor Using Support Vector Regression

摘要：

An adaptive calibration method for three axial magnetic fluxgate sensor using support vector regression (SVR) is proposed in this paper. Firstly, the main problems arise from non-orthogonality, different sensitivity and bias of the three axes are analyzed. Then a relevant mathematic calibration model in matrix form is constructed to rectify these errors, and is converted to linear form one. Next, the coefficients of calibration model are identified by SVR algorithm. Practical measurement data of geomagnetic field are used to test, and the results show that the measurement errors of three axes fluxgate sensor in different attitude can be rectified under 50nT from 800nT.Because there is no need of any other auxiliary equipment, the proposed method seems to be a better candidate for fast or field calibration of three axial magnetic fluxgate sensors.

关键词： Calibration Magnetic Fluxgate Sensor Support Vector Regression Orthogonality

作者: Jun Shi

作者单位: Department of Electronic engineering, Jiujiang University, Jiujiang, Jiangxi, 332005, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 4222-4225

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）