Signal noise filter structure selection for predictive PI controller in a wireless networked control setting

S. Hassan, R. Ibrahim, N. Saad, V. Asirvadam, Kishore Bingi, Tran Duc Chung
{"title":"Signal noise filter structure selection for predictive PI controller in a wireless networked control setting","authors":"S. Hassan, R. Ibrahim, N. Saad, V. Asirvadam, Kishore Bingi, Tran Duc Chung","doi":"10.1109/ICSIPA.2017.8120622","DOIUrl":null,"url":null,"abstract":"The predictive proportional integral (PPI) controller being simple and non conservative like its Smith predictor and internal model control (IMC) counterparts, has the ability to be employed in environments characterised by uncertainties such as stochastic network delays. However, its performance degrades in the presence of measurement noise. This is due to the prediction involve in the controller which acts like the derivative term of PID controller that amplifies high frequency noise. This necessitated the need for additional filtering of the noisy signals. Therefore, this work proposes three several filter configurations for PPI controller in a wireless environment. Simulation results shows that placing the filter within the PPI controller gives smooth control signal that can yield better control performance compared to both feedback and cascade filter configurations.","PeriodicalId":268112,"journal":{"name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2017.8120622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The predictive proportional integral (PPI) controller being simple and non conservative like its Smith predictor and internal model control (IMC) counterparts, has the ability to be employed in environments characterised by uncertainties such as stochastic network delays. However, its performance degrades in the presence of measurement noise. This is due to the prediction involve in the controller which acts like the derivative term of PID controller that amplifies high frequency noise. This necessitated the need for additional filtering of the noisy signals. Therefore, this work proposes three several filter configurations for PPI controller in a wireless environment. Simulation results shows that placing the filter within the PPI controller gives smooth control signal that can yield better control performance compared to both feedback and cascade filter configurations.
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
无线网络控制中预测PI控制器的信噪滤波器结构选择
预测比例积分(PPI)控制器与Smith预测器和内部模型控制(IMC)一样简单且非保守,能够在具有随机网络延迟等不确定性的环境中使用。然而,在测量噪声存在的情况下,其性能会下降。这是由于控制器中涉及的预测类似于PID控制器的导数项,放大了高频噪声。这就需要对噪声信号进行额外的滤波。因此,本研究提出了无线环境下PPI控制器的三种滤波器配置。仿真结果表明,与反馈滤波器和级联滤波器配置相比,将滤波器置于PPI控制器中可以获得平滑的控制信号,从而获得更好的控制性能。
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
Enhanced forensic speaker verification using multi-run ICA in the presence of environmental noise and reverberation conditions A real-time multi-class multi-object tracker using YOLOv2 Hybrid neural network and regression tree ensemble pruned by simulated annealing for virtual flow metering application Hybrid DWT and MFCC feature warping for noisy forensic speaker verification in room reverberation A deep architecture for face recognition based on multiple feature extraction techniques
×
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