{"title":"Collision-free formation trajectory tracking control for second-order multi-agent systems by PPC method","authors":"Liqiu Zhu , Yining Qian , 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.
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.