Asymmetric Hysteresis Modeling Approach Featuring "Inertial System + Shape Function" for Magnetostrictive Actuators
Zhi-Yuan Si1,2, Xian-Xu 'Frank' Bai1, Li-Jun Qian1
1Laboratory for Adaptive Structures and Intelligent Systems (LASIS), Department of Vehicle Engineering, Hefei University of Technology, Hefei 230009, China.
Materials (Basel, Switzerland)
|June 11, 2020
Summary
A new hysteresis model, the ISSF-Duhem model, effectively describes magnetostrictive actuator behavior. This model improves precision engineering control by accurately predicting hysteresis characteristics.
Area of Science:
- Materials Science
- Control Engineering
- Physics
Background:
- Hysteresis in magnetostrictive actuators significantly impacts control system performance in precision engineering.
- Accurate hysteresis modeling is crucial for enhancing the reliability and efficiency of magnetostrictive actuator applications.
Purpose of the Study:
- To propose and validate a novel hysteresis model for magnetostrictive actuators.
- To enhance the control performance of precision engineering systems utilizing magnetostrictive actuators.
Main Methods:
- Development of the "inertial system + shape function" (ISSF-Duhem) model, integrating a first-order inertial system with a shape function.
- Comparison of different shape functions (Grompertz, modified hyperbolic tangent, one-sided dead-zone operator) within the ISSF-Duhem framework.
- Validation against the classic modified Prandtl-Ishlinskii model and experimental data from a commercial magnetostrictive actuator.
Main Results:
- The proposed ISSF-Duhem model accurately captures the hysteresis characteristics of magnetostrictive actuators.
- The model demonstrates superior performance in describing and predicting hysteresis compared to existing models.
- Different shape functions offer varying degrees of accuracy, allowing for tailored model selection.
Conclusions:
- The ISSF-Duhem model provides an effective solution for addressing hysteresis in magnetostrictive actuators.
- This advancement is significant for improving control precision in demanding engineering applications.
- The study validates the model's capability through experimental verification.
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