非合作目标跟踪的船舶编队预设性能控制

Prescribed performance control for vessel formation in noncooperative target tracking

  • 摘要: 【目的】针对无人水面船舶编队在非合作目标跟踪场景下的自主作业需求,本文融合非同步编队制导框架和鲁棒控制策略,构建了基于事件触发机制的编队预设性能控制算法。【方法】首先,面向非合作目标的动态特性,设计了编队参考信号的解耦条件,并建立速度校正机制,有效保障编队系统的自主重构能力;其次,通过改进的预设性能函数与动态事件触发机制的结合,提升了无人船对参考轨迹的跟踪精度。基于Lyapunov稳定性理论,证明了闭环系统的半全局一致最终有界性。【结果】最后通过两组仿真实验,定量验证了本文算法在船舶路径跟踪具有高精度、鲁棒性强、低通信负载的特点,且平均控制精度能够有效保持在0.5m以内。【结论】研究成果对多无人船系统的非协同控制和编队重构提供了新的理论框架和技术实现路径。

     

    Abstract: Objectives To address the autonomous operation requirements of unmanned surface vessel (USV) formations in non-cooperative target tracking scenarios, this paper integrates an asynchronous formation guidance framework with robust control strategies, developing a formation prescribed performance control algorithm based on an event-triggered mechanism. Methods Firstly, addressing the dynamic characteristics of non-cooperative targets, decoupling conditions for formation reference signals are systematically designed with an integrated velocity correction mechanism, which effectively ensures the autonomous reconfiguration capability of the formation system. Secondly, the integration of enhanced prescribed performance functions with dynamic event-triggered mechanisms significantly improves the tracking accuracy of USVs for reference trajectories. Based on Lyapunov stability theory, the semi-global uniformly ultimately bounded (SGUUB) stability of the closed-loop system is rigorously proven. Results Finally, two sets of simulation experiments are conducted to quantitatively demonstrate that the developed method possesses the distinctive characteristics of high-precision path tracking, strong robustness, and low communication load for marine vessels. Notably, the algorithm consistently maintains an average tracking accuracy below 0.5 meters. Conclusions The research findings establish a novel theoretical framework and technical implementation pathways for both non-cooperative control and formation reconfiguration in multi-USV systems.

     

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