高精度编码器细分误差修正方法的研究
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长春大学

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Interpolation error analysis of photoelectric encoder based onimproved genetic algorithm
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    摘要:

    为了精密测量光电编码器在工作时的细分误差,提高编码器细分精度,提出了一种基于改进遗传算法的光电编码器光栅条纹信号细分误差测量分析方法。阐述了基本遗传算法的原理和实现方案,并进行了算法的改进与优化,利用采集到的离散信号数据,通过改进后的遗传算法对光电信号波形进行参数提取。分析了信号质量对编码器细分误差的影响,根据提取到的信号参数(直流分量,幅值,频率和相位)对光电编码器细分误差进行测量。实验结果表明,通过改进遗传算法提取的信号参数精度高,运算速度快,细分误差峰值为+2.51 和-4.52 。该方法可有效的测量光电编码器细分误差,对编码器信号的补偿与修正具有重要意义。

    Abstract:

    In order to precision measure interpolation error of photoelectric encoder at work and improve the subdivision precision of encoder, the interpolation error measuring analysis method of grating signal in photoelectric encoder based on improved genetic algorithm was proposed. The basic principles of genetic algorithms and implementations were explained. The algorithm was improved and optimized. Using the collected discrete data of signal, the improved genetic algorithm extracted parameters from optical signal waveform. The influence of the signal quality in the encoder interpolation error was analyzed. According to parameters of the extracted signal (DC component, amplitude, frequency and phase) , the interpolation error of photoelectric encoder was measured. Experimental results show that parameters of the extracted signal through improved genetic algorithm was Shigh precision and quick speed in operating. The maximum and the minimum interpolation error were +2.51 and -4.52". This method can effectively measure the photoelectric encoder interpolation error. It may play an important role in the further research of encoder signals about compensation and correction.

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  • 收稿日期:2018-11-01
  • 最后修改日期:2019-01-09
  • 录用日期:2019-01-10
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