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Piezoelectric micromanipulator dataset for hysteresis identification
Helon Vicente Hultmann Ayala1, Micky Rakotondrabe2, Leandro Dos Santos Coelho3
1Department of Mechanical Engineering, Pontifical Catholic University of Rio de Janeiro, Brazil.
Data in Brief
|February 7, 2020
Summary
This study shares displacement data from piezoelectric actuators under harmonic excitation. The dataset aids in reproducing nonlinear black-box models and advancing high-precision actuator research.
Area of Science:
- Mechanical Engineering
- Materials Science
Background:
- Piezoelectric actuators are crucial for high-precision applications.
- Understanding their nonlinear behavior, particularly hysteresis, is essential for accurate modeling.
- Previous work has utilized this dataset for nonlinear black-box modeling.
Purpose of the Study:
- To present and share a dataset of micro displacement measurements from a piezoelectric cantilevered actuator.
- To enable reproducibility of previous nonlinear modeling studies ([1,2]).
- To provide a common basis for comparing new modeling methods for piezoelectric actuators.
Main Methods:
- Displacement measurements were acquired from a piezoelectric cantilevered actuator.
- Harmonic excitations were applied to the actuator.
- Micro displacements were precisely measured using optical sensors.
Main Results:
- A dataset of displacement measurements under harmonic excitation is now available.
- The data captures the nonlinear and hysteretic behavior of the piezoelectric actuator.
- This dataset facilitates the validation and comparison of different modeling techniques.
Conclusions:
- The shared dataset enhances research reproducibility in piezoelectric actuator modeling.
- It serves as a valuable resource for developing and testing advanced nonlinear models.
- Researchers can leverage this data for advancements in high-precision piezoelectric actuator applications.
