基于紧凑形式动态线性化的改进无模型自适应控制

Zhonghua Pang, Wentai Song, Wencheng Luo, Cunwu Han, Dehui Sun
{"title":"基于紧凑形式动态线性化的改进无模型自适应控制","authors":"Zhonghua Pang, Wentai Song, Wencheng Luo, Cunwu Han, Dehui Sun","doi":"10.1109/DDCLS.2019.8908929","DOIUrl":null,"url":null,"abstract":"With the development of modern industry and information science and technology, modern industrial processes become more and more complex, which brings many challenges for model-based controller design. In this case, data-driven control is a complementary approach to model-based control. This paper proposes an improved model free adaptive control method based on compact format dynamic linearization technique for a class of nonlinear systems. Its control law consists of a time-varying proportional term, a time-varying integral term, and a time-varying derivative term. As a result, compared with the original method where there is only a time-varying integral term, it can strongly improve the dynamical performance of control systems. The effectiveness of the proposed method is demonstrated through simulation results.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"54 1","pages":"1301-1305"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Improved Model Free Adaptive Control Based on Compact Form Dynamic Linearization\",\"authors\":\"Zhonghua Pang, Wentai Song, Wencheng Luo, Cunwu Han, Dehui Sun\",\"doi\":\"10.1109/DDCLS.2019.8908929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of modern industry and information science and technology, modern industrial processes become more and more complex, which brings many challenges for model-based controller design. In this case, data-driven control is a complementary approach to model-based control. This paper proposes an improved model free adaptive control method based on compact format dynamic linearization technique for a class of nonlinear systems. Its control law consists of a time-varying proportional term, a time-varying integral term, and a time-varying derivative term. As a result, compared with the original method where there is only a time-varying integral term, it can strongly improve the dynamical performance of control systems. The effectiveness of the proposed method is demonstrated through simulation results.\",\"PeriodicalId\":6699,\"journal\":{\"name\":\"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)\",\"volume\":\"54 1\",\"pages\":\"1301-1305\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DDCLS.2019.8908929\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDCLS.2019.8908929","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

随着现代工业和信息科学技术的发展,现代工业过程变得越来越复杂,这给基于模型的控制器设计带来了许多挑战。在这种情况下,数据驱动的控制是对基于模型的控制的补充。针对一类非线性系统,提出了一种改进的基于压缩格式动态线性化技术的无模型自适应控制方法。其控制律由时变比例项、时变积分项和时变导数项组成。结果表明,与原方法中只有一个时变积分项相比,该方法能较好地改善控制系统的动态性能。仿真结果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。
Improved Model Free Adaptive Control Based on Compact Form Dynamic Linearization
With the development of modern industry and information science and technology, modern industrial processes become more and more complex, which brings many challenges for model-based controller design. In this case, data-driven control is a complementary approach to model-based control. This paper proposes an improved model free adaptive control method based on compact format dynamic linearization technique for a class of nonlinear systems. Its control law consists of a time-varying proportional term, a time-varying integral term, and a time-varying derivative term. As a result, compared with the original method where there is only a time-varying integral term, it can strongly improve the dynamical performance of control systems. The effectiveness of the proposed method is demonstrated through simulation results.
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
×
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