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Published on: December 20, 2016
Improving atomic force microscopy imaging by a direct inverse asymmetric PI hysteresis model
Dong Wang1,2, Peng Yu3, Feifei Wang4,5
1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. wangdong@sia.cn.
A new Direct Inverse Asymmetric Prandtl-Ishlinskii (DIAPI) model accurately predicts piezoelectric actuator motion in Atomic Force Microscopy (AFM) by accounting for asymmetric behavior, improving scan accuracy.
Area of Science:
- Materials Science
- Mechanical Engineering
- Control Systems
Background:
- Piezoelectric actuators in Atomic Force Microscopy (AFM) exhibit nonlinear behavior.
- Standard symmetric Prandtl-Ishlinskii (PI) models struggle to accurately represent the asymmetric motion of these actuators.
- This asymmetry leads to displacement errors, impacting AFM scan precision.
Purpose of the Study:
- To develop and implement a modified PI model, termed the Direct Inverse Asymmetric PI (DIAPI) model.
- To reduce displacement errors in piezoelectric actuators used in AFM systems.
- To enhance the accuracy of AFM scans by compensating for actuator nonlinearity.
Main Methods:
- A modified PI model (DIAPI) was developed, incorporating two series of slope parameters.
- These parameters describe the distinct voltage-increase (trace) and voltage-decrease (retrace) loops of the actuator's motion.
- A feedforward controller based on the DIAPI model was implemented to compensate for hysteresis.
Main Results:
- The DIAPI model effectively addresses the asymmetric motion of piezoelectric actuators.
- The feedforward controller successfully compensated for hysteresis, reducing displacement errors.
- Experimental validation using micro-lenses and silicon gratings demonstrated improved AFM scan accuracy.
Conclusions:
- The DIAPI model offers a significant improvement over standard PI models for piezoelectric actuator control in AFM.
- Accurate modeling of asymmetric hysteresis is crucial for high-precision AFM imaging.
- The developed DIAPI-based feedforward controller enhances the reliability and accuracy of AFM systems.
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