Human-in-the-Loop Coordinated Path Following of Marine Vehicles Based on Continuous Twisting Control

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2024-09-18 DOI:10.1109/TII.2024.3452760
Mingao Lv;Nan Gu;Dan Wang;Bing Han;Zhouhua Peng
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Abstract

This article addresses the coordinated path-following (CPF) control under human supervision for marine vehicles (MVs) with unknown disturbances. A human-in-the-loop coordinated path-following (HCPF) control architecture is proposed based on the robust exact differentiator (RED) observer and the output feedback continuous twisting control (OFCTC) method. Specifically, a human manipulation is introduced into a virtual leader to regulate its path update speed in response to sudden circumstances for the follower MVs. All follower MVs synchronize indirectly with the human-in-the-loop virtual leader over a communication graph. Then, the path-following control problem is transformed into the controls of a second-order along-track error dynamic and a third-order cross-track error dynamic. By using the path-following errors only, the RED observers are developed to recover the unknown states of the error dynamics. Finally, the OFCTC laws are designed to achieve the individual path following in finite time regardless of the lumped disturbances. The stability of the closed-loop system is analyzed by employing the cascade theory. A salient feature of the proposed HCPF control architecture is that the CPF for MVs can be implemented under the supervision and intervention of human. Simulation results are given to illustrate the effectiveness of the proposed HCPF control method.
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基于连续扭转控制的海洋航行器人在环协调路径跟踪
本文研究了具有未知干扰的船舶(mv)在人类监督下的协调路径跟踪(CPF)控制。提出了一种基于鲁棒精确微分器(RED)观测器和输出反馈连续扭转控制(OFCTC)方法的人在环协调路径跟踪(HCPF)控制体系。具体来说,在虚拟领导者中引入人为操作来调节其路径更新速度,以应对突发情况。所有追随者mv通过通信图间接与人在环虚拟领导者同步。然后,将路径跟踪控制问题转化为二阶沿航迹误差动态控制和三阶跨航迹误差动态控制。通过仅使用路径跟踪误差,开发了RED观测器来恢复误差动力学的未知状态。最后,OFCTC律被设计为在有限时间内实现单个路径跟随,而不受集总扰动的影响。利用级联理论分析了闭环系统的稳定性。所提出的HCPF控制体系结构的一个显著特点是,mv的CPF可以在人的监督和干预下实现。仿真结果验证了所提HCPF控制方法的有效性。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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