Cooperative System with UAV and UGV for Disaster Area Exploration

Takaya Hakukawa, K. Uchiyama, Kai Masuda
{"title":"Cooperative System with UAV and UGV for Disaster Area Exploration","authors":"Takaya Hakukawa, K. Uchiyama, Kai Masuda","doi":"10.1109/ICOSC.2018.8587635","DOIUrl":null,"url":null,"abstract":"Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV) are expected to be widely active in exploring disaster area. However, each unmanned vehicle has problems such as short flight time or poor efficiency of the exploration. As a solution of these problems, a cooperative system between these vehicles is useful by compensating disadvantages each other. In this paper, we propose the cooperation system using quadrotor UAVs and a UGV. In the system, the potential function method that can flexibly cope with a change of environment without computational complexity is used to avoid obstacles and reach the desired position. UAVs transmit data of obstacles to a UGV so as to explore a disaster area efficiently. Super-twisting sliding mode observer (STSMO) is treated for estimating velocities of the vehicles to avoid deterioration of control performance. The validity of the proposed control system is verified through numerical simulations.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"321 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2018.8587635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV) are expected to be widely active in exploring disaster area. However, each unmanned vehicle has problems such as short flight time or poor efficiency of the exploration. As a solution of these problems, a cooperative system between these vehicles is useful by compensating disadvantages each other. In this paper, we propose the cooperation system using quadrotor UAVs and a UGV. In the system, the potential function method that can flexibly cope with a change of environment without computational complexity is used to avoid obstacles and reach the desired position. UAVs transmit data of obstacles to a UGV so as to explore a disaster area efficiently. Super-twisting sliding mode observer (STSMO) is treated for estimating velocities of the vehicles to avoid deterioration of control performance. The validity of the proposed control system is verified through numerical simulations.
无人机与UGV协同灾区探测系统
无人驾驶飞行器(UAV)和无人地面飞行器(UGV)有望在灾区探测中广泛活跃。然而,每一种无人飞行器都存在飞行时间短、探测效率低等问题。作为这些问题的解决方案,这些车辆之间的合作系统是有用的,通过补偿彼此的缺点。在本文中,我们提出了四旋翼无人机和UGV的协同系统。在系统中,采用了能够灵活应对环境变化而不需要计算复杂度的势函数方法来避开障碍物并到达期望位置。无人机将障碍物的数据传输给UGV,以实现对灾区的高效探测。利用超扭转滑模观测器(STSMO)估计车辆的速度,避免了控制性能的恶化。通过数值仿真验证了所提控制系统的有效性。
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
自引率
0.00%
发文量
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
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:481959085
Book学术官方微信