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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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Design, Simulation and High Precision Tracking Control of a Piezoelectric Optical Stabilization Platform
Yonggang Yan1, Can Cui1, Jianjun Cui2
1School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
Micromachines
|January 28, 2026
Summary
This study developed a piezoelectric-driven optical image stabilization (OIS) platform for airborne imaging. The OIS platform effectively compensates for linear image shifts, enhancing imaging performance in dynamic conditions.
Area of Science:
- Opto-electronic imaging
- Mechanical engineering
- Control systems
Background:
- Optical image stabilization (OIS) is essential for high-performance airborne imaging systems operating in dynamic environments.
- Linear image shifts degrade image quality and require precise compensation mechanisms.
Purpose of the Study:
- To design and validate a two-dimensional piezoelectric-driven OIS platform for compensating linear image shifts.
- To enhance the repeatability and accuracy of the OIS platform through advanced modeling and optimization techniques.
Main Methods:
- Development of a motion platform with a bridge amplification mechanism and right-angle guiding beams.
- Theoretical modeling and finite element analysis (FEA) for validation.
- Modeling piezoelectric actuator hysteresis using the Bouc-Wen model and optimizing with Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO).
- Implementation of a composite controller integrating HGAPSO.
Main Results:
- The OIS platform achieved a workspace of 53.92 μm × 53.76 μm and a motion resolution of 30 nm.
- A maximum coupling error of 2.28% and a first-order resonant frequency of 356.69 Hz were recorded.
- Submicron tracking accuracy was attained, with errors of 0.43 μm (X-axis) and 0.47 μm (Y-axis) using the HGAPSO composite controller.
Conclusions:
- The developed piezoelectric-driven OIS platform demonstrates high precision and effectiveness for airborne imaging.
- The integrated HGAPSO optimization and composite controller significantly improve tracking accuracy and repeatability.
- This research offers valuable insights for developing advanced OIS systems for highly dynamic operational environments.
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