Open AccessPosition measurement of linear motor mover based on image spectrum energy
Author(s) -
Zhao Jing,
Dou Shaokun,
Zhao Jiwen,
Jiang Xu,
Pan Zhenbao,
Wang Hui
Publication year - 2019
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2018.5354
Subject(s) - displacement (psychology) , position (finance) , energy (signal processing) , interference (communication) , artificial intelligence , computer vision , pixel , mathematics , computer science , algorithm , statistics , telecommunications , psychology , channel (broadcasting) , finance , economics , psychotherapist
When the image position measuring method is applied to mover position measurement of a linear motor, the selection of the target source image is crucial to measurement accuracy and anti‐interference capacity. In this study, the fence image is used as the original shooting surface, and different kinds of fence images are constructed according to their width standard deviation and grey gradient sum. First, the relationship between the fence image spectrum energy and the correlation of image pixels is analysed. Then the image spectrum energy is used to characterise the feature of fence images during screening to select an aperiodic fence image with a strong anti‐interference. Second, the phase singularity method is used to match the two images before and after displacement to obtain a sub‐pixel displacement value of two images. Finally, according to the system calibration coefficient, the actual displacement value of the linear motor mover is obtained. Experimental results show that the fence image screening from image spectrum energy exhibits more anti‐interference for the position measurement of the linear motor, and the measurement algorithm based on the phase singularity algorithm is more stable. The absolute error of displacement is <0.023 mm, and the relative error change within 0.054–0.862%.