Collision-free formation trajectory tracking control for second-order multi-agent systems by PPC method

IF 6.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Liqiu Zhu , Yining Qian , An-Yang Lu
{"title":"Collision-free formation trajectory tracking control for second-order multi-agent systems by PPC method","authors":"Liqiu Zhu ,&nbsp;Yining Qian ,&nbsp;An-Yang Lu","doi":"10.1016/j.isatra.2025.06.033","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on addressing the problem of realizing formation trajectory tracking and communication maintenance for multi-agent systems. To ensure comprehensive safety, potential collisions among individual agents and between agents and obstacles are considered here. First, to attain the objectives of accurately tracking a formation trajectory while preventing collisions and maintaining communications among the initially connected agents, an expected velocity is designed for each agent by adopting the prescribed performance control (PPC) method. Second, for the purpose of avoiding the collisions between agents and obstacles, a continuous potential function is introduced to generate an obstacle avoidance term in the expected velocity. Further, a control algorithm is devised for each agent to enable it to adjust its velocity to align with the expected velocity. Finally, the simulations demonstrate the effectiveness of this method.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"166 ","pages":"Pages 41-52"},"PeriodicalIF":6.5000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825003313","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper focuses on addressing the problem of realizing formation trajectory tracking and communication maintenance for multi-agent systems. To ensure comprehensive safety, potential collisions among individual agents and between agents and obstacles are considered here. First, to attain the objectives of accurately tracking a formation trajectory while preventing collisions and maintaining communications among the initially connected agents, an expected velocity is designed for each agent by adopting the prescribed performance control (PPC) method. Second, for the purpose of avoiding the collisions between agents and obstacles, a continuous potential function is introduced to generate an obstacle avoidance term in the expected velocity. Further, a control algorithm is devised for each agent to enable it to adjust its velocity to align with the expected velocity. Finally, the simulations demonstrate the effectiveness of this method.
基于PPC的二阶多智能体系统无碰撞编队轨迹跟踪控制。
本文主要研究了多智能体系统中编队轨迹跟踪和通信维护的实现问题。为了保证综合安全,这里考虑了agent个体之间和agent与障碍物之间的潜在碰撞。首先,为达到准确跟踪地层轨迹、防止碰撞和保持初始连接agent之间通信的目标,采用预定性能控制(PPC)方法为每个agent设计预期速度;其次,为了避免智能体与障碍物的碰撞,引入连续势函数,在期望速度中生成避障项;此外,为每个agent设计了控制算法,使其能够调整其速度以使其与预期速度保持一致。最后,通过仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信