小型伪随机绝对式光电编码器芯片

殷景志; 余芝帅; 彭灿; 慕雨松; 常玉春

doi:10.3788/OPE.20162413.0169

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小型伪随机绝对式光电编码器芯片

更新时间：2020-08-13

- 小型伪随机绝对式光电编码器芯片
- Application of pseudo-random code in miniature absolute encoder chip
- 光学精密工程 2016年24卷第10s期页码：169-174
- 作者机构：
  
  吉林大学电子科学与工程学院集成光电子学国家重点联合实验室,吉林长春,130012
- 作者简介：
- 基金信息：
  
  中国国家自然科学基金资助项目（No.61274023）();教育部新世纪优秀人才支持计划资助项目（No.NCET-12-0236）();吉林省发展和改革委资助项目（No
- DOI：10.3788/OPE.20162413.0169
  中图分类号： TP762;TP212.1
- 收稿日期：2016-05-28，
  
  修回日期：2016-06-18，
  
  纸质出版日期：2016-11-14
- 稿件说明：
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殷景志, 余芝帅, 彭灿等. 小型伪随机绝对式光电编码器芯片[J]. 光学精密工程, 2016,24(10s): 169-174

YIN Jing-zhi, YU Zhi-shuai, PENG Can etc. Application of pseudo-random code in miniature absolute encoder chip[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 169-174
殷景志, 余芝帅, 彭灿等. 小型伪随机绝对式光电编码器芯片[J]. 光学精密工程, 2016,24(10s): 169-174 DOI： 10.3788/OPE.20162413.0169.

YIN Jing-zhi, YU Zhi-shuai, PENG Can etc. Application of pseudo-random code in miniature absolute encoder chip[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 169-174 DOI： 10.3788/OPE.20162413.0169.

摘要

为了解决传统绝对式编码器体积大和精度低的问题，设计了一种基于M码伪随机序列的绝对式编码器芯片。在综合考虑各种绝对式编码方式优缺点的前提下，提出采用单圈M码道的设计，避免了传统的多圈绝对式编码器码道数目较多、尺寸较大的缺点，有利于绝对式编码器的小型化。接着，采用M码道与增量式精码道相配合的方式，利用芯片内部ADC对精码进行细分，在尽量避免外部噪声的前提下，将编码器的分辨率提高到19 bit。最后，针对编码器的细分误差，采用基于径向基神经网络的误差补偿算法，可以将编码器的细分误差降低2至3倍，有效提高了编码器的系统精度。仿真结果表明校正后系统的标准偏差为8.4"。该绝对式编码器体积小、精度高、可靠性高，具有一定的工程应用价值。

Abstract

To solve the problem of large volume and low precision for traditional absolute encoder

an absolute encoder chip based on the M-code pseudo-random binary sequence was designed. With overall consideration of advantages and disadvantages of absolute encoding mode

the sing M-code track was designed for avoiding the multi-track and large size of the traditional multi-loop absolute encoder track

thus realizing the miniaturization of absolute encoders. Subjected to the interpolation of the internal ACD

the combination of the M-code channel with the incremental precise-code channel can highly improve the resolution of the absolute encoder to 19 bit with a rather low external noise. Finally

an error compensation algorithm based on the neural-network were adopted to reduce the subdivision error by twice or three times

thus the system precision of the encoder was greatly improved. After compensation

the standard deviation of the encoder system is 8.4''. The absolute encoder can basically meet the requirements for small volume

high precision and high reliability

with certain engineering application values.

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Keywords

references

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