自抗扰广义预测控制及其在大时滞系统中的应用

Xia Wu, Zengqiang Chen, Mingwei Sun, Qinglin Sun
{"title":"自抗扰广义预测控制及其在大时滞系统中的应用","authors":"Xia Wu, Zengqiang Chen, Mingwei Sun, Qinglin Sun","doi":"10.1109/DDCLS.2017.8067716","DOIUrl":null,"url":null,"abstract":"An improved algorithm called active disturbance rejection generalized predictive control which combines advantages of active disturbance rejection control and generalized predictive control is proposed for time-delay systems in this paper to reduce the limitations of active disturbance rejection control (ADRC) in plants with large time-delay and improve the imperfections of generalized predictive control method such as huge computation and strong dependence on mathematical model. The method proposed in this paper can deduce the general solution to the Diophantine equations off-line without the system parameter identification because of the extended state observer. Hence, the online computation burden of this improved method is reduced typically and its application is enlarged. Simulation results show that this proposed design turns out to be a new solution for the large time-delay systems.","PeriodicalId":419114,"journal":{"name":"2017 6th Data Driven Control and Learning Systems (DDCLS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Active disturbance rejection generalized predictive control and its application on large time-delay systems\",\"authors\":\"Xia Wu, Zengqiang Chen, Mingwei Sun, Qinglin Sun\",\"doi\":\"10.1109/DDCLS.2017.8067716\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An improved algorithm called active disturbance rejection generalized predictive control which combines advantages of active disturbance rejection control and generalized predictive control is proposed for time-delay systems in this paper to reduce the limitations of active disturbance rejection control (ADRC) in plants with large time-delay and improve the imperfections of generalized predictive control method such as huge computation and strong dependence on mathematical model. The method proposed in this paper can deduce the general solution to the Diophantine equations off-line without the system parameter identification because of the extended state observer. Hence, the online computation burden of this improved method is reduced typically and its application is enlarged. Simulation results show that this proposed design turns out to be a new solution for the large time-delay systems.\",\"PeriodicalId\":419114,\"journal\":{\"name\":\"2017 6th Data Driven Control and Learning Systems (DDCLS)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th Data Driven Control and Learning Systems (DDCLS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DDCLS.2017.8067716\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th Data Driven Control and Learning Systems (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS.2017.8067716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文结合自抗扰控制和广义预测控制的优点,提出了一种针对时滞系统的自抗扰广义预测控制改进算法,以减少自抗扰控制在大时滞对象中的局限性,改善广义预测控制方法计算量大、对数学模型依赖性强等缺陷。本文所提出的方法由于存在扩展状态观测器,可以在不需要系统参数辨识的情况下离线推导丢番图方程的通解。因此,改进后的方法大大减轻了在线计算量,扩大了应用范围。仿真结果表明,该设计为大时延系统提供了一种新的解决方案。
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
Active disturbance rejection generalized predictive control and its application on large time-delay systems
An improved algorithm called active disturbance rejection generalized predictive control which combines advantages of active disturbance rejection control and generalized predictive control is proposed for time-delay systems in this paper to reduce the limitations of active disturbance rejection control (ADRC) in plants with large time-delay and improve the imperfections of generalized predictive control method such as huge computation and strong dependence on mathematical model. The method proposed in this paper can deduce the general solution to the Diophantine equations off-line without the system parameter identification because of the extended state observer. Hence, the online computation burden of this improved method is reduced typically and its application is enlarged. Simulation results show that this proposed design turns out to be a new solution for the large time-delay systems.
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
Model-free adaptive MIMO control algorithm application in polishing robot Multiple-fault diagnosis of analog circuit with fault tolerance Iterative learning control for switched singular systems Active disturbance rejection generalized predictive control and its application on large time-delay systems Robust ADRC for nonlinear time-varying system with uncertainties
×
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