This paper aims to develop a novel fixed-time Lyapunov-based model predictive control (FTLMPC) scheme for the trajectory tracking control of autonomous surface vessels (ASVs) to improve the trajectory tracking performance. It is worth emphasizing that fixed-time control (FTC) is first emeging into the LMPC framework. By introducing the fixed-time auxiliary control system within the contraction constraints of Lyapunov-based model predictive control (LMPC) framework, the control performance of trajectory tracking is significantly improved, theoretically achieving fixed-time convergence. Mean-while, taking into account the practical constraints of the actuator thrusts, the input constraints are incorporated into the control strategy, explicitly defining a feasible attraction domain that ensures fixed-time stability. Simulation results validate that this method exhibits excellent control performance.


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    Titel :

    Trajectory Tracking Control of Autonomous Surface Vehicles Using Fixed-Time Lyapunov-Based Model Predictive Control


    Beteiligte:
    Zhou, Yuxing (Autor:in) / Hao, Li-Ying (Autor:in) / Wang, Run-Zhi (Autor:in)


    Erscheinungsdatum :

    08.12.2024


    Format / Umfang :

    1078839 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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