Event-triggered dynamic landing control of cooperative USV-UAV plant with the compensation mechanism for rolling kinematics.

IF 6.5
Guoqing Zhang, Guipeng Yao, Jiqiang Li, Zezhou Guo
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Abstract

In this paper, an event-triggered fuzzy control algorithm is proposed for the unmanned surface vessel (USV) and unmanned aerial vehicle (UAV) cooperative plant to achieve the high-precision landing mission. In the guidance module, an L1 virtual ship-L1 virtual aerial vehicle (L1VS-L1VA) guidance principle is developed to generate the reasonable reference signals for the USV-UAV plant under the landing mission. The proposed guidance principle incorporates a rolling kinematic compensation mechanism based on the 4-degree-of-freedom model of USV, specifically designed to counteract wave-induced rolling disturbances during UAV landing operations on unstable marine platforms. Combined with the guidance module, a dynamic multi-port event-triggered mechanism (MPET) is designed utilizing system output errors to reduce unnecessary resource usage. A synchronized roll-triggering threshold is set to integrate the roll attitude of the USV-UAV plant at the final landing segment, ensuring the balance between data transmission stability and rolling-compensated landing accuracy in engineering practice. The algorithm's stability is proven using the Lyapunov stability theory, and its effectiveness is validated through simulation experiments.

具有滚动运动学补偿机制的USV-UAV协同装置事件触发动态着陆控制。
针对无人水面舰艇(USV)和无人机(UAV)协同工厂的高精度着陆任务,提出了一种事件触发模糊控制算法。在制导模块中,提出了L1虚拟舰-L1虚拟飞行器(L1VS-L1VA)制导原理,为USV-UAV装置在着陆任务下生成合理的参考信号。所提出的制导原理包含基于无人潜航器4自由度模型的滚动运动补偿机制,专门用于抵消无人机在不稳定海洋平台上着陆时波浪引起的滚动干扰。结合制导模块,设计了一种利用系统输出误差的动态多端口事件触发机制(MPET),以减少不必要的资源使用。设置同步滚转触发阈值,整合USV-UAV装置在最终着陆段的滚转姿态,确保工程实践中数据传输稳定性与滚转补偿着陆精度之间的平衡。利用李雅普诺夫稳定性理论证明了算法的稳定性,并通过仿真实验验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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