16 June 2022 Detection and compensation of installation eccentricity of photoelectric encoder based on double highpass filter
Author Affiliations +
Abstract

As a precision position sensor, the photoelectric encoder has difficulty avoiding eccentricity or tilt error in the industrial manufacturing and assembly process. At present, manual error correction is often used to adjust. The adjustment efficiency is low, and it has difficulty cooperating with other types of error compensation methods. In view of these problems, we proposed a photoelectric encoder eccentricity error detection and compensation method based on digital signal bandpass filtering that effectively corrects the signal deviation caused by the installation eccentricity in the output signal and judges the direction and magnitude of the eccentricity error to realize the encoding correction of eccentricity and inclination error of the device. The mathematical model of the eccentric error generation principle of the photoelectric encoder combined with the Lissajous figure was derived. We then demonstrated the design of a photoelectric encoder error detection platform to detect photoelectric encoders of different diameters in real time. Finally, using the advantages of field programmable gate array high-speed parallel processing, the error compensation algorithm was written into the development chip to improve the efficiency of processing the encoder output error signal. This method can adapt to the eccentricity error correction and compensation of different models of photoelectric encoders and can greatly improve the efficiency and accuracy compared with previous detection methods.

© 2022 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2022/$28.00 © 2022 SPIE
Han Hou, Guohua Cao, Hongchang Ding, Kun Li, and Changfu Zhao "Detection and compensation of installation eccentricity of photoelectric encoder based on double highpass filter," Optical Engineering 61(6), 064107 (16 June 2022). https://doi.org/10.1117/1.OE.61.6.064107
Received: 26 June 2021; Accepted: 17 May 2022; Published: 16 June 2022
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Error analysis

Computer programming

Signal processing

Bandpass filters

Signal detection

Optical engineering

Head

RELATED CONTENT


Back to Top