Research on Particle Swarm Compensation Method for Subdivision Error Optimization of Photoelectric Encoder Based on
Han Hou1, Guohua Cao1,2, Hongchang Ding1,2
1Mechanical Engineering Faculty, Changchun University of Science and Technology, Changchun 130022, China.
Sensors (Basel, Switzerland)
|June 24, 2022
Summary
A novel particle swarm optimization model enhances photoelectric encoder accuracy by reducing grating subdivision errors. This method improves convergence speed and system precision for high-precision industrial and aerospace measurements.
Area of Science:
- Measurement Science
- Optical Metrology
- Control Systems Engineering
Background:
- Photoelectric encoders are crucial for high-precision measurements in industry and aerospace.
- Subdivision accuracy of moiré grating signals is a key challenge.
- Existing methods may lack efficiency in error compensation.
Purpose of the Study:
- To propose a particle swarm optimization (PSO) compensation model for photoelectric encoder subdivision errors.
- To enhance the subdivision accuracy of moiré grating signals.
- To improve the convergence speed and system accuracy of PSO algorithms.
Main Methods:
- Developed an adaptive subdivision method for PSO search domains using a honeycomb structure.
- Established a grating signal subdivision error compensation model using a multi-swarm PSO algorithm with parallel iteration.
- Utilized FPGA pipeline architecture for high-speed parallel processing to correct sinusoidal errors.
Main Results:
- The proposed PSO algorithm improved convergence speed and system accuracy compared to traditional PSO.
- Experimental verification on a 25-bit photoelectric encoder demonstrated significant error reduction.
- Dynamic subdivision error was reduced by 50%, and static subdivision error decreased from 1.264″ to 0.487″.
Conclusions:
- The parallel iteration-based multi-swarm PSO model effectively compensates for photoelectric encoder subdivision errors.
- The method significantly enhances measurement accuracy in high-precision applications.
- FPGA implementation enables efficient real-time error correction.
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