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Laboratory Calibration of D-dot Sensor Based on System Identification Method.

Ke Wang1, Yantao Duan2, Lihua Shi3

  • 1National Key Laboratory on Electromagnetic Environment Effects and Electro-Optical Engineering, Army Engineering University of PLA, Nanjing 210007, China.

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|July 27, 2019
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Summary
This summary is machine-generated.

This study introduces a new laboratory calibration method for D-dot sensors, crucial for measuring transient electric fields and electromagnetic pulses (EMP). The technique enhances calibration accuracy, especially for distorted waveforms, by using system identification.

Keywords:
D-dot sensorelectromagnetic pulse measurementsfrequency–domain calibrationsystem identification

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Area of Science:

  • Electrical Engineering
  • Electromagnetics
  • Metrology

Background:

  • D-dot sensors are vital for non-contact transient electric field measurements, particularly for electromagnetic pulse (EMP) analysis.
  • Accurate laboratory calibration is essential for ensuring the reliability of D-dot sensor data.
  • Existing calibration methods may face challenges with waveform distortions and specific operating frequencies.

Purpose of the Study:

  • To propose and validate a novel system identification-based calibration method for D-dot sensors.
  • To enhance the accuracy and adaptability of D-dot sensor calibration in laboratory settings.
  • To address limitations in current calibration techniques, particularly concerning time-domain waveform distortions.

Main Methods:

  • Modeling the D-dot sensor as a linear time-invariant (LTI) system within its corner frequency range.
  • Characterizing the sensor's frequency response using the transfer function of a discrete output error (OE) model.
  • Employing partial linear regression on the transfer function curve to determine the sensitivity coefficient.

Main Results:

  • The proposed method successfully calibrates D-dot sensors by obtaining their sensitivity coefficient.
  • Increasing the influence of low-frequency components improves calibration performance for distorted waveforms.
  • The method offers adaptability to the sensor's operating frequency range.

Conclusions:

  • System identification provides an effective approach for accurate D-dot sensor calibration.
  • The novel method demonstrates superior performance in handling time-domain waveform distortions.
  • This technique enhances the practical application of D-dot sensors in EMP measurements.