Chinese Journal of Ship Research, Volume. 19, Issue 1, 178(2024)

Optimal trajectory tracking control of unmanned surface vehicle formation under unknown disturbances

Ning WANG1, Yongjin LIU2, and Ying GAO2
Author Affiliations
  • 1College of Marine Engineering, Dalian Maritime University, Dalian 116026, China
  • 2College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China
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    Objective

    A finite-time disturbance observer-based optimal backstepping control (FDO-OBC) method is proposed for the issue of unknown disturbances and formation changes in the formation trajectory tracking of unmanned surface vehicles (USVs).

    Methods

    First, the USV formation control framework is established on the basis of the virtual structure method, and the kinematics and dynamics formation controllers are designed. Second, a finite-time disturbance observer is introduced to estimate and compensate for unknown environmental disturbances in real time. Further, a dynamic trajectory optimization strategy based on optimal backstepping control is proposed for the trajectory tracking issue of formation change, and the information of the disturbance observer is used to calculate the optimal control input and achieve the dynamic optimization of USV formation trajectory tracking. Finally, Lyapunov stability theory is used to demonstrate the stability of the designed formation control method.

    Results

    The simulation results indicate that the proposed control strategy can effectively improve the accuracy and robustness of the USV formation system.

    Conclusion

    The FDO-OBC method provides a new technical means for the design of USV formation control systems under unknown environmental disturbances.

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    Ning WANG, Yongjin LIU, Ying GAO. Optimal trajectory tracking control of unmanned surface vehicle formation under unknown disturbances[J]. Chinese Journal of Ship Research, 2024, 19(1): 178

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    Paper Information

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    Received: May. 5, 2023

    Accepted: --

    Published Online: Mar. 18, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03348

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