Onboard Operational Safety Filter for a Quadrotor in an Environment With Dynamic Obstacles

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2025-02-11 DOI:10.1109/TII.2024.3514167
Weifeng Zeng;Long Li;Hao Xiong;Hantao Jiang;Bernd R. Noack;Wenjie Lu;Honghai Liu
{"title":"Onboard Operational Safety Filter for a Quadrotor in an Environment With Dynamic Obstacles","authors":"Weifeng Zeng;Long Li;Hao Xiong;Hantao Jiang;Bernd R. Noack;Wenjie Lu;Honghai Liu","doi":"10.1109/TII.2024.3514167","DOIUrl":null,"url":null,"abstract":"Quadrotors have been applied to a wide range of industrial applications in recent years. It is vital to ensure the safety of a quadrotor operated by a human pilot in a practical environment that usually involves dynamic obstacles. This article develops an onboard Operational Safety Filter (OSF) for a quadrotor in an environment with dynamic obstacles. The developed OSF integrates motion prediction of dynamic obstacles and an improved backup controller into the existing backup controller-based OSF framework. The motion prediction of dynamic obstacles aims to address the dynamic obstacles. The improved backup controller can provide enhanced operational freedom for a quadrotor with respect to the existing backup controllers. The developed onboard OSF is applied to quadrotors in simulation and in the real world to evaluate its effectiveness in addressing dynamic obstacles, improving operational freedom, and running on a real quadrotor.","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"21 5","pages":"3776-3785"},"PeriodicalIF":9.9000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Informatics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10880662/","RegionNum":1,"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

Quadrotors have been applied to a wide range of industrial applications in recent years. It is vital to ensure the safety of a quadrotor operated by a human pilot in a practical environment that usually involves dynamic obstacles. This article develops an onboard Operational Safety Filter (OSF) for a quadrotor in an environment with dynamic obstacles. The developed OSF integrates motion prediction of dynamic obstacles and an improved backup controller into the existing backup controller-based OSF framework. The motion prediction of dynamic obstacles aims to address the dynamic obstacles. The improved backup controller can provide enhanced operational freedom for a quadrotor with respect to the existing backup controllers. The developed onboard OSF is applied to quadrotors in simulation and in the real world to evaluate its effectiveness in addressing dynamic obstacles, improving operational freedom, and running on a real quadrotor.
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
四旋翼飞行器动态障碍物环境下的机载操作安全滤波器
近年来,四旋翼飞行器在工业上得到了广泛的应用。在通常涉及动态障碍物的实际环境中,确保由人类飞行员操作的四旋翼飞行器的安全性至关重要。本文开发了一种四旋翼飞行器在动态障碍物环境下的机载操作安全滤波器(OSF)。在现有的基于备份控制器的OSF框架中,集成了动态障碍物的运动预测和改进的备份控制器。动态障碍物运动预测的目的是对动态障碍物进行预测。与现有的备用控制器相比,改进的备用控制器可以为四旋翼提供增强的操作自由度。将开发的机载OSF应用于四旋翼飞行器的仿真和现实世界中,以评估其在解决动态障碍、提高操作自由度和在真实四旋翼飞行器上运行方面的有效性。
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 去求助
来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
期刊最新文献
Predicting Response Parameters of Ice-Covered Overhead Transmission Lines With Physics-Augmented Machine Learning DSFormer: Dual-Stream Transformers With Exogenous Variables for Electricity Price Forecasting Adaptive Platoon Tracking Control for Vehicles With Irregular Constraints: A Novel Disturbance Rejection Method Resilient Path Planning for UAVs Against Oriented-Covert Attacks Optimizing Prompts With MLLM for Multimodal Product Style Recognition in Industry 5.0
×
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