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Induced Voltage Linear Extraction Method Using an Active Kelvin Bridge for Disturbing Force Self-Sensing.

Yuanyuan Yang1, Lei Wang2, Jiubin Tan3

  • 1Harbin Institute of Technology, D-401 Science Park, No. 2 Yikuang Street, Harbin 150080, China. yyy42616500@126.com.

Sensors (Basel, Switzerland)
|May 24, 2016
PubMed
Summary

A new method uses induced voltage to detect disturbing forces in giant magnetostrictive actuators (GMAs). This technique offers precise force sensing, crucial for advanced actuator control and diagnostics.

Keywords:
Kelvin bridgegiant magnetostrictive actuatorinduced voltageself-sensing

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Area of Science:

  • Engineering
  • Materials Science
  • Physics

Background:

  • Giant magnetostrictive actuators (GMAs) are essential in various engineering applications.
  • Accurate sensing of external disturbing forces is critical for the performance and safety of GMAs.
  • Conventional methods for force sensing can be complex and intrusive.

Purpose of the Study:

  • To develop a novel linear extraction method for self-sensing disturbing forces in GMAs.
  • To improve the accuracy and efficiency of force detection within GMAs.
  • To provide a non-intrusive sensing solution for GMAs.

Main Methods:

  • Implemented a Kelvin bridge circuit with an active device for induced voltage extraction.
  • Utilized an additional GMA as a reference actuator to balance the self-sensing circuit.
  • Employed linear fitting based on the relationship between disturbing forces and integrated induced voltage.

Main Results:

  • The proposed method successfully extracts induced voltage for force sensing.
  • Experimental validation confirmed the method's good performance.
  • Achieved a self-sensitivity for disturbing forces better than 2.0 (mV·s)/N.

Conclusions:

  • The induced voltage linear extraction method is effective for disturbing force self-sensing in GMAs.
  • The Kelvin bridge configuration offers advantages over traditional Wheatstone bridges for this application.
  • This technique enhances the diagnostic capabilities of GMAs.