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Model reference adaptive control based on kp model for magnetically controlled shape memory alloy actuators.

Miaolei Zhou1, Yannan Zhang1, Kun Ji1

  • 1Department of Control Science and Engineering, Jilin University, Changchun - PR China.

Journal of Applied Biomaterials & Functional Materials
|June 3, 2017
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Summary

This study introduces a model reference adaptive control method to address hysteresis nonlinearity in magnetically controlled shape memory alloy (MSMA) actuators. The approach significantly enhances positioning accuracy for improved actuator performance.

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Area of Science:

  • Materials Science
  • Control Engineering

Background:

  • Magnetically controlled shape memory alloy (MSMA) actuators offer large deformation and high controllability.
  • However, inherent hysteresis nonlinearity limits their positioning accuracy and response speed.

Purpose of the Study:

  • To develop a control strategy for mitigating hysteresis nonlinearity in MSMA actuators.
  • To enhance the positioning accuracy and response of MSMA actuators.

Main Methods:

  • A modified Krasnosel'skii-Pokrovskii model was utilized to characterize MSMA actuator hysteresis.
  • An adaptive recursive algorithm was employed for parameter identification of the hysteresis model.
  • A model reference adaptive control (MRAC) method was proposed for model optimization and inverse compensation.

Main Results:

  • Simulation experiments demonstrated the effectiveness of the MRAC method.
  • The proposed control strategy significantly improved actuator control precision.
  • A maximum tracking error of 0.0072 mm was achieved, indicating high accuracy.

Conclusions:

  • The model reference adaptive control method effectively eliminates hysteresis nonlinearity in MSMA actuators.
  • This approach leads to a substantial improvement in the positioning accuracy of MSMA actuators.
  • The findings highlight the potential of MRAC for precise control of smart material actuators.