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Tracking control of piezoelectric actuator using adaptive model.

Tran Vu Minh1, Nguyen Manh Linh2, Xinkai Chen3

  • 1School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam.

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Summary

This study introduces an adaptive model predictive control technique to reduce hysteresis in piezoelectric actuators (PEAs). The method effectively improves the accuracy of PEAs in micro- and nanopositioning applications.

Keywords:
Adaptive model predictive controlHysteresisPiezoelectric actuator

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Area of Science:

  • * Mechatronics and Control Systems Engineering
  • * Materials Science and Engineering

Background:

  • * Piezoelectric actuators (PEAs) are crucial for micro- and nanopositioning due to their high resolution, fast response, and significant force output.
  • * A primary limitation of PEAs is significant accuracy degradation caused by hysteresis.
  • * Addressing hysteresis is critical for enhancing the precision of PEA-driven systems.

Purpose of the Study:

  • * To develop and validate an adaptive model predictive control (MPC) strategy for mitigating hysteresis in PEAs.
  • * To improve the positioning accuracy and reliability of piezoelectric actuator systems.

Main Methods:

  • * Implementation of an adaptive model predictive control (MPC) technique.
  • * Utilizing an autoregressive exogenous (ARX) model to capture and compensate for hysteresis dynamics.
  • * Experimental validation of the proposed control strategy.

Main Results:

  • * The proposed adaptive MPC method significantly reduces the impact of hysteresis in PEAs.
  • * Experimental results demonstrate a marked improvement in the accuracy of piezoelectric actuators.
  • * The ARX-based predictive control effectively compensates for nonlinear hysteresis behavior.

Conclusions:

  • * Adaptive model predictive control offers an effective solution for overcoming hysteresis limitations in PEAs.
  • * The proposed technique enhances the precision and performance of micro- and nanopositioning systems.
  • * This control strategy is vital for applications demanding high-accuracy actuator performance.