Distributed Collision-Avoidance Formation Control: A Velocity Obstacle-Based Approach

Yifan Hu, Han Yu, Yang Zhong, Yuezu Lv
{"title":"Distributed Collision-Avoidance Formation Control: A Velocity Obstacle-Based Approach","authors":"Yifan Hu, Han Yu, Yang Zhong, Yuezu Lv","doi":"10.1109/SSCI44817.2019.9003159","DOIUrl":null,"url":null,"abstract":"This paper proposes a discrete-time algorithm for formation control of multi-agent systems with collision avoidance, where the agents’ velocity and steering constraints are also considered. To ensure the collision avoidance, the velocity obstacle and reciprocal velocity obstacle methods are introduced to modify the distributed formation algorithm, where each agent uses velocity obstacle method to avoid collision with obstacles, and reciprocal velocity obstacle method to avoid collision with other agents. In this sense, each agent has the ability to pass through complex obstacle environments by autonomously changing prefer velocity. Simulation results show that the proposed algorithm can achieve formation task and meanwhile guarantee collision avoidance.","PeriodicalId":6729,"journal":{"name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"27 1","pages":"1994-2000"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSCI44817.2019.9003159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This paper proposes a discrete-time algorithm for formation control of multi-agent systems with collision avoidance, where the agents’ velocity and steering constraints are also considered. To ensure the collision avoidance, the velocity obstacle and reciprocal velocity obstacle methods are introduced to modify the distributed formation algorithm, where each agent uses velocity obstacle method to avoid collision with obstacles, and reciprocal velocity obstacle method to avoid collision with other agents. In this sense, each agent has the ability to pass through complex obstacle environments by autonomously changing prefer velocity. Simulation results show that the proposed algorithm can achieve formation task and meanwhile guarantee collision avoidance.
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
分布式避碰编队控制:一种基于速度障碍的方法
本文提出了一种考虑多智能体速度约束和转向约束的离散时间避碰编队控制算法。为了避免碰撞,引入速度障碍法和反向速度障碍法对分布式编队算法进行改进,每个agent使用速度障碍法避免与障碍物碰撞,使用反向速度障碍法避免与其他agent碰撞。从这个意义上说,每个智能体都有能力通过自主改变偏好速度来通过复杂的障碍环境。仿真结果表明,该算法在实现编队任务的同时保证了编队的避碰。
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
自引率
0.00%
发文量
0
期刊最新文献
Planning for millions of NPCs in Real-Time Improving Diversity in Concept Drift Ensembles Self-Organizing Transformations for Automatic Feature Engineering Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks Heuristic Hybridization for CaRSP, a multilevel decision problem
×
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:481959085
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