High Precision Multi-Frame Motion Detection for PMSLM’ Mover Based on Extended Upsampling Normalized Cross-Correlation
ID:67 View Protection:PUBLIC Updated Time:2021-06-18 18:16:40 Hits:1014 Poster Presentation

Start Time:2021-07-02 15:19(Asia/Shanghai)

Duration:1min

Session:SP Poster Session » P2Poster Session 3 & 4

Abstract
A sub-pixel detection algorithm by means of extended upsampling normalized cross-correlation is studied to realize fast and accurate position detection of permanent magnet synchronous linear motor (PMSLM). First, a linear motor mover positioning system composed of a line scan camera and an aperiodic fence stripe image is designed to realize real-time signal acquisition during the motion of the mover. Second, a normalized cross-correlation (NCC) algorithm is utilized to obtain the initial estimation of displacement parameters between adjacent frames. Finally, a matrix multiplication discrete Fourier transform (DFT) is used to realize the local upsampling of the cross-correlation function, and the precise displacement parameters are obtained. Simulation results show that the proposed method can achieve 0.01 pixels accuracy. And the reliability and practicability of the proposed method are verified by setting up an experimental platform.
Keywords
linear motor,normalized cross correlation,image processing,precision measurement
Speaker
Dongbo Hu
School of Electrical Engineering and Automation; Hefei University of Technology

Submission Author
Jiwen Zhao School of Electrical Engineering and Automation; Hefei University of Technology
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Important Date
  • Conference Date

    Jul 01

    2021

    to

    Jul 04

    2021

  • Jul 03 2021

    Contribution Submission Deadline

  • Nov 03 2021

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
Supported By
University of Sydney, Australia
Southwest Jiaotong University, China
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