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基于遗传算法的三维电场传感器解耦标定方法研究

李冰 彭春荣 凌必赟 郑凤杰 陈博 夏善红

李冰, 彭春荣, 凌必赟, 郑凤杰, 陈博, 夏善红. 基于遗传算法的三维电场传感器解耦标定方法研究[J]. 电子与信息学报, 2017, 39(9): 2252-2258. doi: 10.11999/JEIT161277
引用本文: 李冰, 彭春荣, 凌必赟, 郑凤杰, 陈博, 夏善红. 基于遗传算法的三维电场传感器解耦标定方法研究[J]. 电子与信息学报, 2017, 39(9): 2252-2258. doi: 10.11999/JEIT161277
LI Bing, PENG Chunrong, LING Biyun, ZHENG Fengjie, CHEN Bo, XIA Shanhong. The Decoupling Calibration Method Based on Genetic Algorithm of Three Dimensional Electric Field Sensor[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2252-2258. doi: 10.11999/JEIT161277
Citation: LI Bing, PENG Chunrong, LING Biyun, ZHENG Fengjie, CHEN Bo, XIA Shanhong. The Decoupling Calibration Method Based on Genetic Algorithm of Three Dimensional Electric Field Sensor[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2252-2258. doi: 10.11999/JEIT161277

基于遗传算法的三维电场传感器解耦标定方法研究

doi: 10.11999/JEIT161277
基金项目: 

国家自然科学基金(61327810, 61302032),国家863计划项目(2015AA042602)

The Decoupling Calibration Method Based on Genetic Algorithm of Three Dimensional Electric Field Sensor

Funds: 

The National Natural Science Foundation of China (61327810, 61302032), The National 863 Program of China (2015AA042602)

  • 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。
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出版历程
  • 收稿日期:  2016-11-24
  • 修回日期:  2017-02-26
  • 刊出日期:  2017-09-19

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