Research on a New Method of Macro-Micro Platform Linkage Processing for Large-Format Laser Precision Machining

Area of Science:

• Precision Engineering
• Laser Material Processing
• Robotics and Control Systems

Background:

• Laser processing demands high speed, precision, and large formats.
• Existing macro-micro structures (servo platform + galvanometer) have limitations in field-of-view utilization and motion distribution.
• Current linkage processing methods struggle with continuous micro-segments and rely on empirical parameters.

Purpose of the Study:

• To propose a novel laser linkage processing method for global trajectory smoothing.
• To overcome limitations of existing methods in field-of-view usage and motion distribution.
• To enhance efficiency and precision in laser machining applications.

Main Methods:

• Developed a new laser linkage processing method for densely discretized paths.
• Employed a finite impulse response (FIR) filter for servo platform trajectory smoothing with bounded acceleration.
• Utilized vector subtraction for galvanometer trajectory generation, constrained by field-of-view.
• Implemented global blending error control.

Main Results:

• Achieved global trajectory smoothing for the servo platform.
• Generated galvanometer trajectories via vector subtraction for accurate macro-micro motion distribution.
• Experimental verification on a three-axis servo platform and galvanometer system.
• Demonstrated a 79% processing efficiency increase over servo-only methods and 55% over previous linkage methods.
• Confirmed good tracking performance on experimental platforms.

Conclusions:

• The proposed method effectively balances processing efficiency and quality in laser machining.
• It optimizes the utilization of the galvanometer's field-of-view.
• The method is suitable for high-speed, high-precision, and large-format laser precision machining.