Infrared and Laser Engineering, Volume. 52, Issue 5, 20220665(2023)

Research on improved tracking feedforward control method based on sensor fusion prediction

Hang Li1,2, Gaoliang Peng1,2、*, Hongzhao Lin1,2, and Zhao Chen1,2
Author Affiliations
  • 1State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China
  • 2School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
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    Figures & Tables(18)
    Structure diagram of photoelectric tracking platform structure
    Control structure of photoelectric tracking system
    DC torque motor model
    Block diagram of single axis control system
    Improved tracking feedforward control flow chart based on sensor fusion prediction
    Image feedback principle of photoelectric tracking system
    Differential calculation status results
    Sensor fusion strategy
    Sensor fusion results
    Control loop with tracking feedforward compensation
    Predicted state curve
    Comparison of prediction and lag angle deviation
    High frequency sampling prediction state deviation error
    Location extension result
    Tracking error simulation results
    Acquisition, tracking, and pointing system experimental platform
    Tracking curve
    Tracking curve and error
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    Hang Li, Gaoliang Peng, Hongzhao Lin, Zhao Chen. Research on improved tracking feedforward control method based on sensor fusion prediction[J]. Infrared and Laser Engineering, 2023, 52(5): 20220665

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    Paper Information

    Category: Image processing

    Received: Sep. 14, 2022

    Accepted: --

    Published Online: Jul. 4, 2023

    The Author Email: Peng Gaoliang (pgl7782@hit.edu.cn)

    DOI:10.3788/IRLA20220665

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