实践约束下欠驱动船舶的鲁棒事件触发编队控制*

Shang Liu, Guoqing Zhang, B. Li, Xianku Zhang
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引用次数: 1

摘要

本文主要研究基于航路点的预定义航路和有限通信资源的欠驱动船舶编队控制问题。利用改进的逻辑虚拟船(LVS)制导算法,编队可以在海洋环境下沿光滑的基于航路点的航线航行。由于事件触发策略的优点,控制命令(即发动机转速和舵角)只在必要时更新,这可以减少控制器和执行器之间通信通道的通信负载。此外,采用神经阻尼方法可以对系统的不确定项进行重构,只需要在线更新两个相关的自适应学习参数,从而避免了大量神经网络权值的更新。最后,通过Lyapunov分析,可以保证编队系统的所有跟踪误差都是半全局一致最终有界(SGUUB)收敛。数字仿真实验验证了该控制算法的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Event-Triggered Formation Control for Underactuated Ships Under the Practice Constraint*
This article mainly concentrates on the formation control issue for the under-actuated ship with the consideration of ocean practice, i.e., the waypoints-based predefined route and the restricted communication resource. With the improved logical virtual ship (LVS) guidance algorithm, the formation can sail along the smoothed waypoint-based route under the ocean environment. For merit of the event-triggered strategy, the control commands (i.e., the engine speed and the rudder angle) are updated only when necessary, and that can reduce the communication load of the communication channels between the controller and actuators. Besides, by employing the neural damping method, system uncertain terms can be remodeled and only two relevant adaptive learning parameters are required to be updated online, thus avoiding the updating of numerous neural networks weights. Finally, by the Lyapunov analysis, all tracking errors in the formation system can be guaranteed the semi-globally uniformly ultimately bounded (SGUUB) convergence. The digital simulated experiment can verify the effectiveness and superiority of our control algorithm.
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