Distributed Cooperative Framework for Multiple UAVs Safety: A Capability-Triggered Mechanism

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-10-31 DOI:10.1109/TASE.2024.3483932
Bin Yang;Sicheng Zhou;Jindou Jia;Ziqi Yang;Kexin Guo;Yi Yang;Xiang Yu;Youmin Zhang
{"title":"Distributed Cooperative Framework for Multiple UAVs Safety: A Capability-Triggered Mechanism","authors":"Bin Yang;Sicheng Zhou;Jindou Jia;Ziqi Yang;Kexin Guo;Yi Yang;Xiang Yu;Youmin Zhang","doi":"10.1109/TASE.2024.3483932","DOIUrl":null,"url":null,"abstract":"This article develops a safety-driven distributed cooperative framework (SDDCF) for multiple unmanned aerial vehicles (UAVs) subject to actuator faults in the application of emergency search-and-rescue mission. A capability-triggered decision mechanism is proposed to conquer the challenging situation that the system redundancy cannot satisfy the requirement of fault-tolerant control. By quantitatively analyzing the capability of UAV, a safety threshold is provided, which can be updated adaptively in the light of performance requirement and real-time system capability estimated by a fixed-time fault observer. When the safety threshold is violated, the active performance degradation of the faulty UAVs and communication topology reconfiguration of the multiple UAVs are performed. By virtue of the SDDCF with capability-triggered mechanism, the safety of multiple UAVs system suffering from severe actuator faults is ensured for mission completion. The efficacy of the presented framework is demonstrated by a proof-of-concept emergency search-and-rescue mission in real-world flight experiments. Note to Practitioners—The proposed SDDCF is devoted to reduce the safety risk of multiple UAVs with severe actuator faults in emergency missions, where the mobility and reliability must be balanced carefully. Compared with the existing fault-tolerant control schemes, the SDDCF can ensure the safety even if the actuator faults exceed the system redundancy in a specific mission. Moreover, the practicability of the SDDCF, which can be extended to diverse task scenarios, has been verified in real-world flight experiments. In the future, the abilities of cooperative perception and risk avoidance should be improved to further enhance the safety of multiple UAVs in uncertain environments.","PeriodicalId":51060,"journal":{"name":"IEEE Transactions on Automation Science and Engineering","volume":"22 ","pages":"8303-8316"},"PeriodicalIF":6.4000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Automation Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10740489/","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 article develops a safety-driven distributed cooperative framework (SDDCF) for multiple unmanned aerial vehicles (UAVs) subject to actuator faults in the application of emergency search-and-rescue mission. A capability-triggered decision mechanism is proposed to conquer the challenging situation that the system redundancy cannot satisfy the requirement of fault-tolerant control. By quantitatively analyzing the capability of UAV, a safety threshold is provided, which can be updated adaptively in the light of performance requirement and real-time system capability estimated by a fixed-time fault observer. When the safety threshold is violated, the active performance degradation of the faulty UAVs and communication topology reconfiguration of the multiple UAVs are performed. By virtue of the SDDCF with capability-triggered mechanism, the safety of multiple UAVs system suffering from severe actuator faults is ensured for mission completion. The efficacy of the presented framework is demonstrated by a proof-of-concept emergency search-and-rescue mission in real-world flight experiments. Note to Practitioners—The proposed SDDCF is devoted to reduce the safety risk of multiple UAVs with severe actuator faults in emergency missions, where the mobility and reliability must be balanced carefully. Compared with the existing fault-tolerant control schemes, the SDDCF can ensure the safety even if the actuator faults exceed the system redundancy in a specific mission. Moreover, the practicability of the SDDCF, which can be extended to diverse task scenarios, has been verified in real-world flight experiments. In the future, the abilities of cooperative perception and risk avoidance should be improved to further enhance the safety of multiple UAVs in uncertain environments.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
多无人机安全分布式合作框架:能力触发机制
针对多架无人机在紧急搜救任务中执行机构故障的情况,开发了一种安全驱动的分布式协作框架(sdddcf)。针对系统冗余不能满足容错控制要求的难题,提出了一种能力触发决策机制。通过对无人机性能的定量分析,给出了安全阈值,该阈值可以根据性能要求和固定时间故障观测器估计的系统实时能力自适应更新。当超过安全阈值时,对故障无人机进行主动性能降级,并对多架无人机进行通信拓扑重构。通过具有能力触发机制的SDDCF,保证了多无人机系统在执行器严重故障情况下的安全完成任务。通过实际飞行实验中的概念验证紧急搜救任务,验证了所提出框架的有效性。给从业者的说明——提出的SDDCF致力于降低紧急任务中多架无人机执行器严重故障的安全风险,在这种情况下,机动性和可靠性必须得到仔细的平衡。与现有的容错控制方案相比,即使执行器故障超过系统冗余,SDDCF也能保证执行器的安全性。此外,SDDCF的实用性,可以扩展到不同的任务场景,已在实际飞行实验中得到验证。未来,应进一步提高多无人机的协同感知能力和风险规避能力,以进一步提高多无人机在不确定环境下的安全性。
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 去求助
来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
期刊最新文献
Automated Action Generation based on Action Field for Robotic Garment Smoothing and Alignment Reinforcement learning-based distributed secondary frequency control and active power sharing in islanded microgrids with bandwidth-conscious memory-event-triggered mechanism Toward Reliable Imitation Learning with Limited Expert Demonstrations via Search-based Inverse Dynamic Learning C-CBF: Communication-Aware Control Barrier Functions for Resilient Multi-Robot Connectivity Extended State Observer-Based Predefined Time Composite Anti-Disturbance Control for Hydraulic Cutting Arm
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1