事件触发的远程操作多机器人系统连通性维护

IF 4 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Liu Yang;Daniela Constantinescu;Ligang Wu
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引用次数: 0

摘要

在遥控多机器人系统中,机器人在执行人类操作员的指令时需要交换信息以保持连接,这可能会使它们之间的通信变得紧张。为了减轻它们的通信,本文提出了一种分布式协调策略,该策略依赖于事件触发的通信,通过混合动态事件触发摆脱了芝诺行为。该策略使多机器人系统保持全局连接,以提高在混乱环境中的敏捷性;使遥操作人保持被动,以实现稳定的遥操作。在提出的协调下,机器人避免了与障碍物和彼此之间的碰撞,最终以相同的速度行驶并保持期望的间距。一个模拟的三机器人团队的远程操作说明了所提出的事件触发分布式协调控制器的通信节省,连接维护和避障性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event-Triggered Connectivity Maintenance of a Teleoperated Multirobot System
The information that the robots of a teleoperated multirobot system need to exchange to remain connected as they follow the commands of the human operator may strain their communications. To lighten their communications, this article proposes a distributed coordination strategy that relies onevent-triggered communications freed of Zeno behavior through hybrid dynamic event triggering. The proposed strategy maintains the multirobot system globally connected for increased agility in cluttered environments, and maintains the teleoperator passive for stable teleoperation. With the proposed coordination, the robots avoid collisions with obstacles and with each other, and eventually travel at the same velocity and maintain their desired spacings. Teleoperation of a simulated three-robot team illustrates the communications savings, and the connectivity maintenance and obstacle avoidance performance, of the proposed event-triggered distributed coordination controller.
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来源期刊
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization
CiteScore
7.80
自引率
7.10%
发文量
169
期刊介绍: The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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