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A Distributed Method for Self-Calibration of Magnetoresistive Angular Position Sensor within a Servo System.

Vladimir Čeperković1, Vladimir Rajović1, Milan Prokin1

  • 1Department of Electronics and Digital Systems, School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11120 Belgrade, Serbia.

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Summary
This summary is machine-generated.

This study introduces a self-calibration method for magnetoresistive angle position sensors in servo systems. The technique enhances measurement accuracy significantly by utilizing high-speed shaft movement data for model parameter identification.

Keywords:
angle measurementdistributed systemsmagnetoresistive sensorsself-calibrationservo system

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Area of Science:

  • * Electrical Engineering
  • * Sensor Technology
  • * Control Systems

Background:

  • * Magnetoresistive angle position sensors offer superior reliability and environmental resilience compared to Hall effect sensors for servo systems.
  • * Accurate angular position sensing is critical for precise control in servo applications.
  • * Existing calibration methods may lack efficiency or accuracy in dynamic conditions.

Purpose of the Study:

  • * To propose and validate a distributed self-calibration method for magnetoresistive angular position sensors.
  • * To enhance the measurement accuracy and convergence speed of these sensors within servo systems.
  • * To leverage high-speed shaft movement data for robust parameter identification.

Main Methods:

  • * A distributed approach for self-calibration using data from maximum allowed speed shaft movements.
  • * Employing minimization of algebraic distances for linear compensation parameter identification.
  • * Utilizing average shaft rotation speed as a high-precision reference for harmonic compensation parameter identification.
  • * Integrating data acquisition and processing within the servo system's control loop, with parameter identification on an application server.

Main Results:

  • * Achieved an order of magnitude increase in measurement accuracy.
  • * Demonstrated fast convergence of the calibration method.
  • * Experimentally obtained measurement uncertainty below 0.5°.
  • * Recorded residual variance less than 0.02°, comparable to sensor resolution.

Conclusions:

  • * The proposed self-calibration method significantly improves the accuracy of magnetoresistive angle position sensors.
  • * The distributed approach is efficient and suitable for integration into servo system control processes.
  • * The method provides high-precision angular measurements even under dynamic operating conditions.