Passivation and performance optimization using an extremum seeking co-simulation framework with application to Adaptive Cruise Control systems

Arash Rahnama, M. Xia, Shige Wang, P. Antsaklis
{"title":"Passivation and performance optimization using an extremum seeking co-simulation framework with application to Adaptive Cruise Control systems","authors":"Arash Rahnama, M. Xia, Shige Wang, P. Antsaklis","doi":"10.1109/ACC.2016.7526629","DOIUrl":null,"url":null,"abstract":"In this paper, we apply an input-output transformation passivation method developed in our previous work to an Adaptive Cruise Control system and analyze the system's performance. A co-simulation framework that makes use of an online optimization method called extremum-seeking is used to determine the passivation parameters. It is known that systems with input-output time-delays are not passive. Additionally, time-delays are unavoidable in automotive systems and commonly emerge in software implementations, communication units, as well as driver's behavior. We show that by using our passivation method, we can passivate a time-delay system and improve its overall performance by using an extremum-seeking co-simulation framework. To validate our work, we present simulation results in CarSim and Simulink.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.2016.7526629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

In this paper, we apply an input-output transformation passivation method developed in our previous work to an Adaptive Cruise Control system and analyze the system's performance. A co-simulation framework that makes use of an online optimization method called extremum-seeking is used to determine the passivation parameters. It is known that systems with input-output time-delays are not passive. Additionally, time-delays are unavoidable in automotive systems and commonly emerge in software implementations, communication units, as well as driver's behavior. We show that by using our passivation method, we can passivate a time-delay system and improve its overall performance by using an extremum-seeking co-simulation framework. To validate our work, we present simulation results in CarSim and Simulink.
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
基于极值求联合仿真框架的钝化与性能优化及其在自适应巡航控制系统中的应用
本文将前人研究的输入输出变换钝化方法应用于自适应巡航控制系统,并分析了该系统的性能。利用称为极值搜索的在线优化方法的联合仿真框架用于确定钝化参数。众所周知,具有输入-输出时滞的系统不是被动的。此外,延迟在汽车系统中是不可避免的,并且通常出现在软件实现、通信单元以及驾驶员的行为中。我们的研究表明,采用我们的钝化方法,我们可以钝化时滞系统,并通过极值寻求联合仿真框架提高其整体性能。为了验证我们的工作,我们在CarSim和Simulink中给出了仿真结果。
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
Adaptive control architectures for mitigating sensor attacks in cyber-physical systems The use of simulation in chemical process control learning and the development of PISim Towards a systematic solution for differential games with limited communication Assured satellite communications: A minimal-cost-variance system controller paradigm Decoupling control of electrified turbocharged diesel engines
×
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