考虑外部干扰的异构模型网联车辆排控制

Yongfu Li , Zongyu Qin , Hao Zhu , Srinivas Peeta , Xinbo Gao
{"title":"考虑外部干扰的异构模型网联车辆排控制","authors":"Yongfu Li ,&nbsp;Zongyu Qin ,&nbsp;Hao Zhu ,&nbsp;Srinivas Peeta ,&nbsp;Xinbo Gao","doi":"10.1016/j.geits.2022.100038","DOIUrl":null,"url":null,"abstract":"<div><p>This article studies the distributed cooperative control problem with the heterogeneous model structures and external disturbances for the connected vehicle (CV) platoon. We propose a hierarchical framework to separate information flow topology from local dynamics control, which aims to deal with the heterogeneous model structures of CV platoon. This hierarchical framework splits the control scheme into two layers, which include an observer in the upper-level layer and an integral sliding mode (ISM) controller in the lower-level layer. Then, the conditions for the asymptotic stability of the CV platoon are derived and the effectiveness of the ISM controller is demonstrated through the Lyapunov method. The research shows that compared with the traditional methods, the hierarchical framework does not need to specify the topology structure as a commonly used topology. Finally, numerical simulation results are performed to test the effectiveness and superiority of the developed controller.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"1 3","pages":"Article 100038"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277315372200038X/pdfft?md5=5c6a5baae0b501f70bc080f4cd19eae7&pid=1-s2.0-S277315372200038X-main.pdf","citationCount":"1","resultStr":"{\"title\":\"Platoon control of connected vehicles with heterogeneous model structures considering external disturbances\",\"authors\":\"Yongfu Li ,&nbsp;Zongyu Qin ,&nbsp;Hao Zhu ,&nbsp;Srinivas Peeta ,&nbsp;Xinbo Gao\",\"doi\":\"10.1016/j.geits.2022.100038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This article studies the distributed cooperative control problem with the heterogeneous model structures and external disturbances for the connected vehicle (CV) platoon. We propose a hierarchical framework to separate information flow topology from local dynamics control, which aims to deal with the heterogeneous model structures of CV platoon. This hierarchical framework splits the control scheme into two layers, which include an observer in the upper-level layer and an integral sliding mode (ISM) controller in the lower-level layer. Then, the conditions for the asymptotic stability of the CV platoon are derived and the effectiveness of the ISM controller is demonstrated through the Lyapunov method. The research shows that compared with the traditional methods, the hierarchical framework does not need to specify the topology structure as a commonly used topology. Finally, numerical simulation results are performed to test the effectiveness and superiority of the developed controller.</p></div>\",\"PeriodicalId\":100596,\"journal\":{\"name\":\"Green Energy and Intelligent Transportation\",\"volume\":\"1 3\",\"pages\":\"Article 100038\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S277315372200038X/pdfft?md5=5c6a5baae0b501f70bc080f4cd19eae7&pid=1-s2.0-S277315372200038X-main.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Green Energy and Intelligent Transportation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S277315372200038X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Green Energy and Intelligent Transportation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S277315372200038X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

研究了具有异构模型结构和外部干扰的网联车辆队列分布式协同控制问题。本文提出了一种层次化的信息流拓扑与局部动态控制分离框架,以解决CV排模型结构的异构问题。该分层框架将控制方案分为两层,上层为观测器,下层为积分滑模(ISM)控制器。然后,推导了CV排的渐近稳定条件,并通过Lyapunov方法验证了ISM控制器的有效性。研究表明,与传统方法相比,分层框架不需要指定拓扑结构,是常用的拓扑结构。最后进行了数值仿真,验证了所设计控制器的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Platoon control of connected vehicles with heterogeneous model structures considering external disturbances

This article studies the distributed cooperative control problem with the heterogeneous model structures and external disturbances for the connected vehicle (CV) platoon. We propose a hierarchical framework to separate information flow topology from local dynamics control, which aims to deal with the heterogeneous model structures of CV platoon. This hierarchical framework splits the control scheme into two layers, which include an observer in the upper-level layer and an integral sliding mode (ISM) controller in the lower-level layer. Then, the conditions for the asymptotic stability of the CV platoon are derived and the effectiveness of the ISM controller is demonstrated through the Lyapunov method. The research shows that compared with the traditional methods, the hierarchical framework does not need to specify the topology structure as a commonly used topology. Finally, numerical simulation results are performed to test the effectiveness and superiority of the developed controller.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.40
自引率
0.00%
发文量
0
期刊最新文献
Unveiling the power of data in bidirectional charging: A qualitative stakeholder approach exploring the potential and challenges of V2G A comprehensive overview of the alignment between platoon control approaches and clustering strategies Co-estimation of state-of-charge and state-of-temperature for large-format lithium-ion batteries based on a novel electrothermal model Towards vehicle electrification: A mathematical prediction of battery electric vehicle ownership growth, the case of Turkey A review on reinforcement learning-based highway autonomous vehicle control
×
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