Model based predictive control for networked control system with time delay

Koji Kobayashi, Hiromu Noritsuki, Y. Uchimura
{"title":"Model based predictive control for networked control system with time delay","authors":"Koji Kobayashi, Hiromu Noritsuki, Y. Uchimura","doi":"10.1109/IECON.2017.8216976","DOIUrl":null,"url":null,"abstract":"This paper proposes a control method that compensates for a system with time delay by predicting the future states of the plant. The proposed method contains a state predictor that predicts the future values of a system. Furthermore, the proposed method also considers the uncertainty of the model in terms of the modeling error, which might cause the predicted value to degrade the performance of the system or even destabilize it in the worst case. The disturbance in the remote plant is explicitly considered and is compensated for by locating a feedback controller in the remote side. This paper described the proposed control method based on model-based predictive control that considers modeling error. The stability of the proposed system is analyzed, and performance of the method is evaluated in comparison with conventional methods using numerical simulation results.","PeriodicalId":13098,"journal":{"name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","volume":"59 1","pages":"5633-5638"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2017.8216976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

This paper proposes a control method that compensates for a system with time delay by predicting the future states of the plant. The proposed method contains a state predictor that predicts the future values of a system. Furthermore, the proposed method also considers the uncertainty of the model in terms of the modeling error, which might cause the predicted value to degrade the performance of the system or even destabilize it in the worst case. The disturbance in the remote plant is explicitly considered and is compensated for by locating a feedback controller in the remote side. This paper described the proposed control method based on model-based predictive control that considers modeling error. The stability of the proposed system is analyzed, and performance of the method is evaluated in comparison with conventional methods using numerical simulation results.
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
基于模型的时滞网络控制系统预测控制
本文提出了一种通过预测对象的未来状态来补偿时滞系统的控制方法。所提出的方法包含一个状态预测器,用于预测系统的未来值。此外,该方法还考虑了模型在建模误差方面的不确定性,在最坏的情况下,建模误差可能导致预测值降低系统的性能,甚至使系统不稳定。该方法明确考虑了远端对象的扰动,并通过在远端设置反馈控制器进行补偿。提出了一种考虑建模误差的基于模型的预测控制方法。分析了系统的稳定性,并用数值仿真结果对该方法的性能与传统方法进行了比较。
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
Analysis of the influence of train operation diagram adjustment on the working state and life of IGBT module of traction converter Real-time pothole detection system on vehicle using improved YOLOv5 in Malaysia an Interval Multiple Models Approach for Uncertain Nonlinear Systems Estimation Enhancement of DC MCB Performance using Power Semiconductor Devices Blended Learning for Remote Software Simulation Laboratory of a Solar Power System
×
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