Correction of Rotational Eccentricity Based on Model and Microvision in the Wire-Traction Micromanipulation System

Area of Science:

• Robotics and Automation
• Mechanical Engineering
• Microtechnology

Background:

• Automatic wire-traction micromanipulation systems require high precision.
• Coil-to-rotation axis misalignment causes eccentricity, impacting control accuracy.
• Micron-level manipulation of electrode wires is susceptible to eccentricity errors.

Purpose of the Study:

• To propose a method for measuring and correcting coil eccentricity in micromanipulation systems.
• To improve the control accuracy of wire-traction systems.
• To enhance the efficiency and applicability of micromanipulation and microassembly.

Main Methods:

• Established models for radial and tilt eccentricity based on identified sources.
• Developed a measurement technique combining an eccentricity model with microscopic vision.
• Implemented a correction strategy using a compensation model and hardware adjustments.
• Utilized visual image processing algorithms for model parameter calibration.

Main Results:

• Models accurately predicted eccentricity, with root mean square error (RMSE) used for evaluation.
• The correction method effectively reduced residual errors to within 6 μm.
• Achieved approximately 99.6% compensation for eccentricity.
• Experimental results validated the accuracy of prediction and effectiveness of correction.

Conclusions:

• The proposed method integrates eccentricity modeling and microvision for precise measurement and correction.
• This approach significantly improves wire-traction micromanipulation accuracy and system efficiency.
• The developed technique offers a more suitable and wider range of applications in micromanipulation and microassembly fields.