激光杂志2024,Vol.45Issue(6) :64-69.DOI:10.14016/j.cnki.jgzz.2024.06.064

融和并行CORDIC算法的编码器细分

Encoder subdivision of integrated parallel CORDIC algorithm

时英元 郭涛 苏心意 刘叶琦 黄振宇
激光杂志2024,Vol.45Issue(6) :64-69.DOI:10.14016/j.cnki.jgzz.2024.06.064

融和并行CORDIC算法的编码器细分

Encoder subdivision of integrated parallel CORDIC algorithm

时英元 1郭涛 1苏心意 1刘叶琦 1黄振宇1
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作者信息

  • 1. 中北大学电子测试技术国家重点实验室,太原 030051
  • 折叠

摘要

为在外形尺寸与码盘刻线数的双重限制下提升小型光电编码器的精度与分辨率,提出了一种基于坐标旋转计算法(Coordinate Rotation Digital Computer,CORDIC)的编码器细分方法.对现阶段众多电子学细分方法优缺点进行剖析,在细分原理的基础上分析误差产生原因,运用改进型CORDIC算法对运动不满一周期内的信号进行高精度细分处理.实验结果表明,相较于其他方法,最大最小峰谷差值分别减少了 60"、20"、10",均方根误差分别下降了 77.1%、59.2%、36.4%,实现了高精度化和小型化.

Abstract

To improve the accuracy and resolution of small ptoelectronic encoders under the dual limitations of ex-ternal dimensions and the number of code disc lines,a encoder subdivision method based on Coordinate Rotation Digit-al Computer(CORDIC)is proposed.Analyze the advantages and disadvantages of numerous electronic subdivision methods at present,analyze the causes of errors based on the subdivision principle,and use the improved CORDIC al-gorithm to perform high-precision subdivision processing on signals with less than one cycle of motion.The experimen-tal results show that,compared with other methods,the maximum and minimum peak valley differences are reduced by 60",20"and 10"respectively,and the Root-mean-square deviation is reduced by 77.1%,59.2%and 36.4%re-spectively,realizing the high-precision and miniaturization of displacement measurement.

关键词

CORDIC算法/细分误差/精度/光电编码器

Key words

CORDIC algorithm/subdivision error/accuracy/photoelectric encoder

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基金项目

国家自然科学基金(51975541)

出版年

2024
激光杂志
重庆市光学机械研究所

激光杂志

CSTPCD北大核心
影响因子:0.74
ISSN:0253-2743
参考文献量5
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