Controlling A Motion Platform Beyond Its Anti-Resonance

E. Ari, E. Kocaoglan
{"title":"Controlling A Motion Platform Beyond Its Anti-Resonance","authors":"E. Ari, E. Kocaoglan","doi":"10.3182/20140824-6-ZA-1003.00910","DOIUrl":null,"url":null,"abstract":"Abstract In controlling motion platforms, the servo motor and the feedback sensor are in general, not co-located. Hence, there usually happens to be a mechanical anti-resonance in controlling the system in velocity mode. This anti-resonance hinders the controller design as the open-loop gain of the system is severely reduced. In this study, a novel approach based on self-recurrent wavelet neural networks (SRWNNs) has been proposed in order to re-shape the anti-resonance behavior of the open-loop plant in a robust manner. The approach has been verified both using simulations and experiments.","PeriodicalId":13260,"journal":{"name":"IFAC Proceedings Volumes","volume":"2 1","pages":"1742-1747"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC Proceedings Volumes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3182/20140824-6-ZA-1003.00910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract In controlling motion platforms, the servo motor and the feedback sensor are in general, not co-located. Hence, there usually happens to be a mechanical anti-resonance in controlling the system in velocity mode. This anti-resonance hinders the controller design as the open-loop gain of the system is severely reduced. In this study, a novel approach based on self-recurrent wavelet neural networks (SRWNNs) has been proposed in order to re-shape the anti-resonance behavior of the open-loop plant in a robust manner. The approach has been verified both using simulations and experiments.
超越反共振控制运动平台
摘要在运动平台的控制中,伺服电机和反馈传感器一般是不共存的。因此,在速度模式下控制系统通常会发生机械反谐振。这种反谐振阻碍了控制器的设计,因为系统的开环增益严重降低。在这项研究中,提出了一种基于自循环小波神经网络(SRWNNs)的新方法,以鲁棒方式重新塑造开环对象的反谐振行为。通过仿真和实验验证了该方法的有效性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信