Laser & Optoelectronics Progress, Volume. 61, Issue 13, 1308001(2024)

Analysis and Correction Algorithm of Pincushion Distortion in Galvanometer Scanning

Yutao Ding1, Jun Zhang2、*, Yao Guo3, and Hao Chen4
Author Affiliations
  • 1School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, Guangxi , China
  • 2School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin 541004, Guangxi , China
  • 3School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, Guangxi , China
  • 4School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, Guangxi , China
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    In this study, the specific reasons for pincushion distortion during the scanning process of galvanometers are analyzed. A complete mathematical model of the galvanometer-scanning system is established based on theory and principle, and an algorithm for reverse compensation of the driving voltage is proposed to solve the pincushion distortion problem. The proposed algorithm expresses the relationship between the scanning path and the deflection angle of the galvanometer, presents simulation results of the intermediate voltage compensation process, and derives the correction formula of the galvanometer-driving reverse voltage compensation algorithm. The correction amount of pincushion distortion is presented in a simulation form. The simulation and experimental results demonstrate that the proposed algorithm can effectively correct pincushion distortion, thereby improving the accuracy of the galvanometer scanning system and satisfying the requirements for practical applications.

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    Yutao Ding, Jun Zhang, Yao Guo, Hao Chen. Analysis and Correction Algorithm of Pincushion Distortion in Galvanometer Scanning[J]. Laser & Optoelectronics Progress, 2024, 61(13): 1308001

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    Paper Information

    Category: Geometric Optics

    Received: Jul. 24, 2023

    Accepted: Oct. 17, 2023

    Published Online: Jul. 17, 2024

    The Author Email: Jun Zhang (junzhang8819@gmail.com)

    DOI:10.3788/LOP231782

    CSTR:32186.14.LOP231782

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