Title
Precision Motion Measurement for Linear Motor Based on FNCC and Phase Difference M-Estimator Robust Regression in a VLSM System
Abstract
This article investigates a low-cost vision-based line-scan measurement (VLSM) system to achieve the high-precision positioning of linear motors. Also, an improved two-step phase difference method is performed for detecting subpixel translation of 1-D multiframe images. In the first step of the algorithm, a fast normalized cross correlation (FNCC) is adopted for coarse estimation to extract the overlapping portions of the two frames. In the second step, an M-Estimator robust regression method is used to estimate the displacement parameters of the phase difference matrix of the overlap further accurately. The simulation cases indicate that the proposed approach outperforms the other existing methods in accuracy and robustness. In addition, the system and proposed algorithm are effectively validated in experiments and achieve a displacement detection of 0.01-mm grade of the mover.
Year
DOI
Venue
2022
10.1109/TIM.2022.3193964
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Keywords
DocType
Volume
Displacement measurement, Motion measurement, Cameras, Correlation, Gray-scale, Phase measurement, Magnetic resonance imaging, Fast normalized cross correlation (FNCC), linear motor, M-Estimator, phase information, precision measurement
Journal
71
ISSN
Citations 
PageRank 
0018-9456
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Dongbo Hu100.34
Jiwen Zhao200.34
Xing Yang300.34
Xiaohu Zhang400.34