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Noise reduction method for the multi-Sensor system measuring DC current

机译:用于测量直流电流的多传感器系统的降噪方法

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Multi-Sensor system has been proposed to measure electric current in a non-contact way. According to the Ampere's Law, the value of the current flowing in a conductor can be obtained through processing the outputs of the magnetic sensors around the conductor. As the discrete form of the Ampere's Law is applied, measurement noises are introduced when there exists the interference magnetic field induced by nearby current flowing conductors. In this paper, the measurement noises of the multi-sensor system measuring DC current are examined to reveal the impact of the interference magnetic field and the number of the magnetic sensors on the measurement accuracy. A noise reduction method based on Kalman filtering is presented. Computer simulation and experiment results show that the method greatly improves the accuracy without seriously increasing the computation load in comparison with other approaches.
机译:已经提出了多传感器系统以非接触方式测量电流。根据安培定律,可以通过处理导体周围的磁传感器的输出来获得在导体中流动的电流的值。由于应用了安培定律的离散形式,因此当存在附近的电流导体引起的干扰磁场时,会引入测量噪声。本文研究了测量直流电流的多传感器系统的测量噪声,以揭示干扰磁场和磁传感器数量对测量精度的影响。提出了一种基于卡尔曼滤波的降噪方法。计算机仿真和实验结果表明,与其他方法相比,该方法在不严重增加计算量的前提下,极大地提高了计算精度。

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