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Integrated thrust ripple identification and compensation for linear servo system using an MP algorithm.

He Chang1, Shaowu Lu1, Shiqi Zheng2

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|September 2, 2023
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Summary
This summary is machine-generated.

This study introduces a new method to precisely model and compensate for thrust ripple in linear servo systems. The improved approach enhances tracking accuracy by simultaneously identifying and suppressing disturbances.

Keywords:
Integrated identificationLinear servo systemMatching pursuitThrust ripple

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Area of Science:

  • Control Engineering
  • Mechatronics
  • Robotics

Background:

  • Thrust ripple in linear servo systems degrades tracking accuracy.
  • Existing modeling methods have limitations in accuracy and operational constraints.

Purpose of the Study:

  • To propose an integrated identification and compensation scheme for thrust ripple.
  • To enhance the tracking accuracy of linear servo systems.

Main Methods:

  • Formulating linear motor dynamics and analyzing thrust ripple causes.
  • Constructing a time-frequency atomic library for thrust ripple reconstruction.
  • Employing an improved matching pursuit algorithm for online identification of eigenvalues and parameters.
  • Devising a feedforward compensation component based on identification results.

Main Results:

  • Simultaneous online identification of thrust ripple eigenvalues and model parameters.
  • Effective suppression of thrust ripple through feedforward compensation.
  • Demonstrated superiority of the proposed scheme via simulations and experiments compared to conventional methods.

Conclusions:

  • The proposed integrated scheme effectively identifies and compensates for thrust ripple.
  • This method significantly enhances the tracking accuracy of linear servo systems.
  • The approach offers a more robust and accurate solution for thrust ripple management.