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Frequency-domain correction of sensor dynamic error for step response.

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This study introduces new methods for correcting sensor dynamic errors using frequency-domain correction. The improved technique significantly enhances measurement accuracy by reducing response time and overshoot in dynamic measurements.

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Area of Science:

  • Measurement Science and Instrumentation
  • Mechanical Engineering
  • Aerospace Engineering

Background:

  • Sensors exhibit non-ideal dynamic characteristics, including low natural frequencies and damp ratios, which compromise dynamic measurement accuracy.
  • Existing frequency-domain correction methods struggle to accurately calculate the frequency-domain correction function (FCF) from step response data due to leakage errors and invalid FCF values.

Purpose of the Study:

  • To develop an improved method for calculating the frequency-domain correction function (FCF) for sensors with non-ideal dynamic characteristics.
  • To enhance the dynamic measurement accuracy of sensors by effectively eliminating dynamic errors.

Main Methods:

  • Introduced data splicing preprocessing and FCF interpolation techniques to overcome limitations in existing FCF calculation methods.
  • Developed a sensor dynamic error correction procedure utilizing the calculated FCF.
  • Applied the proposed method to a bar-shaped wind tunnel strain gauge balance for validation.

Main Results:

  • The dynamic error correction significantly reduced the step response adjust time of the strain gauge balance to 10 ms.
  • Overshoot in the balance's step response was reduced to within 5%.
  • The dynamic measurement accuracy of the wind tunnel balance was substantially improved.

Conclusions:

  • The proposed data splicing and FCF interpolation methods effectively address the limitations of existing frequency-domain correction techniques.
  • The developed dynamic error correction procedure offers a viable solution for improving the accuracy of dynamic measurements in systems with non-ideal sensors.
  • The successful application to a wind tunnel balance demonstrates the practical effectiveness of the method in enhancing measurement precision.