基于边缘触发观测器的分布式编队控制

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Control Automation and Systems Pub Date : 2024-09-02 DOI:10.1007/s12555-023-0065-8
Can Ding, Zhe Zhang, Jing Zhang
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引用次数: 0

摘要

随着无人机、移动机器人和自动驾驶车队等技术的日益普及,多代理协作控制已成为一个重要的研究领域。本文重点介绍基于分布式观测器的编队控制,适用于具有领导者-追随者结构的多代理系统,利用边缘事件触发机制。与依赖于完全获取领导者速度的传统编队控制不同,这种方法只需要少数选定的跟随者就能获取领导者的时变速度信息。通过边缘事件触发机制开发了分布式速度观测器,以减少不必要的数据传输并节约能源。此外,还引入了基于输入到状态稳定性理论的方位编队控制器,以有效管理编队跟踪和执行缩放机动。数值模拟证明了所提方法的有效性,并突出了它们与传统的基于节点的事件触发策略相比的优势。
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Distributed Bearing-based Formation Control With Edge-triggered Observers

With the growing prevalence of technologies such as drones, mobile robots, and autonomous vehicle fleets, multi-agent collaborative control has emerged as a significant area of research. This article focuses on distributed observer-based formation control for multi-agent systems with a leader-follower structure, utilizing edge-event triggered mechanisms. Unlike traditional formation controls that depend on complete access to the leader’s velocity, this method requires only a select few followers to have access to the time-varying velocity information of the leader. A distributed velocity observer was developed through an edge-event triggered mechanism to reduce unnecessary data transmissions and conserve energy. Additionally, a bearing-based formation controller built on input-to-state stability theory was introduced to effectively manage formation tracking and execute scaling maneuvers. Numerical simulations demonstrate the effectiveness of the proposed methods and highlight their advantages over traditional node-based event-triggered strategies.

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来源期刊
International Journal of Control Automation and Systems
International Journal of Control Automation and Systems 工程技术-自动化与控制系统
CiteScore
5.80
自引率
21.90%
发文量
343
审稿时长
8.7 months
期刊介绍: International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE). The journal covers three closly-related research areas including control, automation, and systems. The technical areas include Control Theory Control Applications Robotics and Automation Intelligent and Information Systems The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.
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