Chinese Journal of Ship Research, Volume. 20, Issue 1, 317(2025)

Ship path-following control method based on MPC-IMFAC

Shijie LI1,2, Taixu LIU2, Jialun LIU1,3,4, Chengqi XU2, and Jiawei HE2
Author Affiliations
  • 1State Key Laboratory of Maritime Technology and Safety, Wuhan 430063, China
  • 2School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
  • 3Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China
  • 4National Engineering Research Center for Water Transport Safety, Wuhan 430063, China
  • show less

    Objective

    This study aims to solve the problem of path-following control under environmental disturbances and model uncertainties, especially the effects of external wind and wave environments.

    Method

    Based on a model predictive control (MPC) controller, improved model-free adaptive control (IMFAC) is introduced as the path following control compensator. The error between the ship's actual state and predicted state is corrected to solve the problem of the insufficient accuracy of the model under environmental disturbances such as sudden crosswinds and external wind waves, thereby improving the precision of path-following control.

    Results

    Ship path-following control simulation experiments are conducted with a scaled-down KVLCC2 ship model. As the results show, compared with traditional MPC control, the MPC-IMFAC method reduces the maximum absolute heading error of the ship by 25.4% under sudden disturbances, and the average absolute heading error decreases by 2.6% under time-varying environmental disturbances.

    Conclusion

    The simulation results verify that this control method possesses superior anti-interference ability while ensuring path-following control accuracy.

    Keywords
    Tools

    Get Citation

    Copy Citation Text

    Shijie LI, Taixu LIU, Jialun LIU, Chengqi XU, Jiawei HE. Ship path-following control method based on MPC-IMFAC[J]. Chinese Journal of Ship Research, 2025, 20(1): 317

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Motion Control

    Received: Nov. 2, 2023

    Accepted: --

    Published Online: Mar. 13, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03629

    Topics