无线网络控制系统的模糊免疫控制和新型Smith预测器

F. Du, W. Du
{"title":"无线网络控制系统的模糊免疫控制和新型Smith预测器","authors":"F. Du, W. Du","doi":"10.1109/CCDC.2009.5192223","DOIUrl":null,"url":null,"abstract":"To aim at time-variant or uncertain network delay in the wireless networked control systems (WNCS), as well as Smith predictor model and real model of the controlled plant might be mismatch, a new Smith dynamic predictor combined with fuzzy immune control is proposed. Because new Smith dynamic predictor hides predictor model of the network delay into real network data transmission process, further the network delay no longer need to be measured, identified or estimated on-line. It is applicable to some occasions that wireless network delay is random, time-variant or uncertain, possibly large compared to one, even tens sampling periods, at the same time, there are some data dropouts in closed loop. Based on IEEE 802.15.4 (ZigBee), the results of simulation show validity of the control scheme, and indicate that system has better dynamic performance and robustness.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fuzzy immune control and new Smith predictor for wireless networked control systems\",\"authors\":\"F. Du, W. Du\",\"doi\":\"10.1109/CCDC.2009.5192223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To aim at time-variant or uncertain network delay in the wireless networked control systems (WNCS), as well as Smith predictor model and real model of the controlled plant might be mismatch, a new Smith dynamic predictor combined with fuzzy immune control is proposed. Because new Smith dynamic predictor hides predictor model of the network delay into real network data transmission process, further the network delay no longer need to be measured, identified or estimated on-line. It is applicable to some occasions that wireless network delay is random, time-variant or uncertain, possibly large compared to one, even tens sampling periods, at the same time, there are some data dropouts in closed loop. Based on IEEE 802.15.4 (ZigBee), the results of simulation show validity of the control scheme, and indicate that system has better dynamic performance and robustness.\",\"PeriodicalId\":127110,\"journal\":{\"name\":\"2009 Chinese Control and Decision Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Chinese Control and Decision Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2009.5192223\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2009.5192223","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

针对无线网络控制系统(WNCS)中的时变或不确定网络延迟,以及被控对象的Smith预测模型与真实模型可能不匹配的问题,提出了一种结合模糊免疫控制的Smith动态预测模型。由于新的Smith动态预测器将网络时延的预测模型隐藏在真实的网络数据传输过程中,从而不再需要在线测量、识别和估计网络时延。适用于无线网络时延随机、时变或不确定,可能比一个、甚至几十个采样周期大,同时在闭环中存在一些数据丢失的场合。基于IEEE 802.15.4 (ZigBee)标准的仿真结果表明了该控制方案的有效性,并表明系统具有较好的动态性能和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Fuzzy immune control and new Smith predictor for wireless networked control systems
To aim at time-variant or uncertain network delay in the wireless networked control systems (WNCS), as well as Smith predictor model and real model of the controlled plant might be mismatch, a new Smith dynamic predictor combined with fuzzy immune control is proposed. Because new Smith dynamic predictor hides predictor model of the network delay into real network data transmission process, further the network delay no longer need to be measured, identified or estimated on-line. It is applicable to some occasions that wireless network delay is random, time-variant or uncertain, possibly large compared to one, even tens sampling periods, at the same time, there are some data dropouts in closed loop. Based on IEEE 802.15.4 (ZigBee), the results of simulation show validity of the control scheme, and indicate that system has better dynamic performance and robustness.
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
自引率
0.00%
发文量
0
期刊最新文献
Observer-based H∞ control for discrete-time T-S fuzzy systems Soft sensor for distillation column feeds Design of temperature measure system for variable sensitive temperature range Wavelet neural network based fault diagnosis of asynchronous motor Analysis of the divert ability of atmospheric interceptors controlled by lateral jet thrusters
×
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