Research on Image Motion Compensation Technology in Vehicle-Mounted Photoelectric Servo System

In order to improve the imaging quality of the vehicle photoelectric servo system, image motion compensation under the vehicle platform is studied. Based on the principle of image motion compensation, combined with coordinate system transformation and velocity vector decomposition, the angular velocity compensation formula of a fast mirror in dynamic scanning imaging of a vehicle photoelectric servo system is obtained. A discrete sliding mode control algorithm based on the Kalman filter is proposed. The proposed algorithm and the discrete sliding mode control algorithm are simulated and compared to verify the system control performance. The simulation results show that the designed algorithm improves control accuracy by 76.3%, reduces overshoot by 75%, and improves response time by 31.25% compared with the discrete sliding mode control algorithm. The experimental platform is built to verify the experimental results. The experimental results show that the speed stability accuracy of the fast mirror is better than 19 μrad, which is 74.37% higher than that of the traditional control scheme. This study provides a reference for the follow-up study of image motion compensation in a vehicle photoelectric servo system.

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Publication Details

Journal
Photonics
Published
2025-02-13
DOI
https://doi.org/10.3390/photonics12020154
Citations
1
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.73

Funders

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article

Research on Image Motion Compensation Technology in Vehicle-Mounted Photoelectric Servo System

Jingyi Fu, Mingyang Zhang, Yunjie Teng, Tongyu Liu
1 citations
Photonics
Advanced Measurement and Detection Methods
0.73
article

Research on Image Motion Compensation Technology in Vehicle-Mounted Photoelectric Servo System

Jingyi Fu, Mingyang Zhang, Yunjie Teng, Tongyu Liu
article en
1 citations

Abstract

In order to improve the imaging quality of the vehicle photoelectric servo system, image motion compensation under the vehicle platform is studied. Based on the principle of image motion compensation, combined with coordinate system transformation and velocity vector decomposition, the angular velocity compensation formula of a fast mirror in dynamic scanning imaging of a vehicle photoelectric servo system is obtained. A discrete sliding mode control algorithm based on the Kalman filter is proposed. The proposed algorithm and the discrete sliding mode control algorithm are simulated and compared to verify the system control performance. The simulation results show that the designed algorithm improves control accuracy by 76.3%, reduces overshoot by 75%, and improves response time by 31.25% compared with the discrete sliding mode control algorithm. The experimental platform is built to verify the experimental results. The experimental results show that the speed stability accuracy of the fast mirror is better than 19 μrad, which is 74.37% higher than that of the traditional control scheme. This study provides a reference for the follow-up study of image motion compensation in a vehicle photoelectric servo system.

PhotonicsVol. 12(2)
Changchun University of Science and Technology (CN), National Engineering Research Center of Electromagnetic Radiation Control Materials (CN)
People's Government of Jilin Province
Openalex Percentile: Top 31%
Advanced Measurement and Detection Methods
0.73
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