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A Nonlinear Calibration Algorithm Based on Harmonic Decomposition for Two-Axis Fluxgate Sensors.

Wenguang Feng1, Shibin Liu2

  • 1School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China. fengwenguang@163.com.

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A new nonlinear calibration algorithm significantly improves two-axis fluxgate sensor accuracy. This method reduces magnetic field magnitude deviation and heading error, enhancing sensor performance for applications like magnetic compasses.

Keywords:
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Area of Science:

  • Geophysics
  • Sensor Technology
  • Instrumentation Engineering

Background:

  • Nonlinearity is a major challenge affecting the calibration accuracy of two-axis fluxgate sensors.
  • Existing calibration methods often fail to adequately address these inherent nonlinearities.
  • Accurate magnetic field measurements are crucial for various applications, including navigation and space exploration.

Purpose of the Study:

  • To propose and validate a novel nonlinear calibration algorithm for two-axis fluxgate sensors.
  • To address the limitations of classical calibration methods in handling sensor nonlinearity.
  • To improve the overall performance and accuracy of two-axis fluxgate sensors.

Main Methods:

  • Detailed analysis of combined time-invariant errors to establish a nonlinear calibration model.
  • Utilization of the harmonic decomposition method for estimating compensation coefficients.
  • Experimental validation and comparison with a classical calibration algorithm.

Main Results:

  • The novel nonlinear calibration reduced magnetic field magnitude deviation from 1302 nT to 30 nT.
  • Classical calibration resulted in a deviation of 81 nT, significantly higher than the proposed method.
  • Heading error for magnetic compass applications was corrected from 1.86° to 0.07°, compared to 0.62° with classical calibration.

Conclusions:

  • The proposed nonlinear calibration algorithm effectively mitigates the impact of nonlinearity in two-axis fluxgate sensors.
  • This advanced calibration technique offers a significant improvement over classical methods.
  • The findings provide a practical approach to enhance the precision and reliability of fluxgate sensor measurements.