Distributed Platoon Control of Connected Vehicles Based on Input-to-state String Stability

Xianzhe Liu, Xuting Duan, Jianshan Zhou, Long Zhang
{"title":"Distributed Platoon Control of Connected Vehicles Based on Input-to-state String Stability","authors":"Xianzhe Liu, Xuting Duan, Jianshan Zhou, Long Zhang","doi":"10.1109/ICUS55513.2022.9987212","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a platoon controller design approach for the vehicular platoon with bounded external disturbances. The vehicle communication between followers are bidirectional, and the leader can transmit its state to all followers. To make sure the platoon can converge to the leader's state with external disturbances, a distributed discontinuous controller is proposed. By introducing input-to-state string stability (ISSS), the states of all followers are proved to be convergent under the leader's bounded inputs and each follower's bounded external disturbances. After solving the linear matrix inequality (LMI) obtained from the convergence analysis, we get the feedback control gains which can make the vehicle platoon stabilized. Besides, with some minor changes to the theorem, the controller can also apply to the platoon system without disturbances. Finally, the effectiveness of the control scheme is confirmed by some numerical simulations.","PeriodicalId":345773,"journal":{"name":"2022 IEEE International Conference on Unmanned Systems (ICUS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Unmanned Systems (ICUS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUS55513.2022.9987212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we propose a platoon controller design approach for the vehicular platoon with bounded external disturbances. The vehicle communication between followers are bidirectional, and the leader can transmit its state to all followers. To make sure the platoon can converge to the leader's state with external disturbances, a distributed discontinuous controller is proposed. By introducing input-to-state string stability (ISSS), the states of all followers are proved to be convergent under the leader's bounded inputs and each follower's bounded external disturbances. After solving the linear matrix inequality (LMI) obtained from the convergence analysis, we get the feedback control gains which can make the vehicle platoon stabilized. Besides, with some minor changes to the theorem, the controller can also apply to the platoon system without disturbances. Finally, the effectiveness of the control scheme is confirmed by some numerical simulations.
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
基于输入-状态串稳定性的联网车辆分布式排控制
针对存在有界外部扰动的车辆队列,提出了一种队列控制器的设计方法。车辆与follower之间的通信是双向的,leader可以将自己的状态传递给所有follower。为了保证在有外部干扰的情况下,队列能够收敛到领队状态,提出了一种分布式不连续控制器。通过引入输入-状态字符串稳定性(ISSS),证明了在领导者有界输入和每个追随者有界外部干扰下,所有追随者的状态是收敛的。通过求解收敛性分析得到的线性矩阵不等式(LMI),得到能使车辆排稳定的反馈控制增益。此外,通过对定理的一些微小修改,该控制器也可以应用于无扰动的排系统。最后,通过数值仿真验证了该控制方案的有效性。
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
自引率
0.00%
发文量
0
期刊最新文献
UNF-SLAM: Unsupervised Feature Extraction Network for Visual-Laser Fusion SLAM Automatic Spinal Ultrasound Image Segmentation and Deployment for Real-time Spine Volumetric Reconstruction Track Matching Method of Sea Surface Targets Based on Improved Longest Common Subsequence Algorithm A dynamic event-triggered leader-following consensus algorithm for multi-AUVs system Adaptive Multi-feature Fusion Improved ECO-HC Image Tracking Algorithm Based on Confidence Judgement for UAV Reconnaissance
×
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