中文摘要：

3维电场分量对传感器输出信号的耦合干扰是影响3维电场探测准确性的关键问题。为了减小耦合干扰,实现3维电场的准确测量,该文提出一种基于遗传算法的3维电场传感器解耦标定方法。区别于求逆矩阵运算的传统标定方法,该方法利用遗传算法并行全局搜索的特点,通过设置适应度函数和遗传算子获得最优化解耦标定矩阵,避免了复杂的矩阵求逆计算,减小了计算误差。该文设计了一种可实现传感器与电场矢量成任意夹角的测试标定装置,建立了电场理论值计算模型。对基于矩阵求逆计算和基于遗传算法的两种解耦标定方法进行了对比实验,实验结果表明,基于遗传算法的3维电场传感器解耦标定方法与传统标定方法相比,有效地消除了电场分量对传感器的耦合干扰,提高了标定精度,实现了3维电场的准确测量。

英文摘要：

The accuracy of three dimensional electric field measurement is greatly influenced by the coupling interference between components of Three Dimension （3D） electric field applied to the electric field sensor. In order to reduce the coupling interference and to realize accurate measurements, a decoupling calibration method based on Genetic Algorithm （GA） of 3D electric field sensor is proposed. Different from the traditional calibration method based on the matrix inversion technology, GA is utilized to obtain the optimal decoupling calibration matrix by setting the objective function and evolution operators, which avoids the calculation errors in the complex matrix inversion. A calibration apparatus, which can make an arbitrary angle between the sensor and the electric field, is designed, and a calculation model of theoretical electric field values is built. Experiments are conducted to verify the decoupling calibration methods based on the matrix inversion technology and GA. The experimental results show that the proposed method can effectively eliminate coupling interferences, improve the calibration precision and realize accurate measurements.