非线性倒立摆系统稳定T-S模糊控制器的设计

O. N. Almasi, Mohsen Shadman, Omid Abri Avval, A. Zare
{"title":"非线性倒立摆系统稳定T-S模糊控制器的设计","authors":"O. N. Almasi, Mohsen Shadman, Omid Abri Avval, A. Zare","doi":"10.1109/IHMSC.2013.152","DOIUrl":null,"url":null,"abstract":"Inverted pendulum is a classic example in the field of nonlinear control theory, which can be observed in the many real world control problems. In this paper, first, a feedback linearization control method is designed and employed to make informative pair of input-output data for controlling a nonlinear inverted pendulum. Then, Based on the pair of input-output data a stable T-S fuzzy controller is designed. The fuzzy clustering method (FCM) is used as a rule extraction approach to properly generate the fuzzy-rule base. Finally, the proposed controller is applied to a nonlinear inverted pendulum system. The results demonstrate the stability, the working, and the applicability of the proposed method.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Design of Stable T-S Fuzzy Controller for a Nonlinear Inverted Pendulum System\",\"authors\":\"O. N. Almasi, Mohsen Shadman, Omid Abri Avval, A. Zare\",\"doi\":\"10.1109/IHMSC.2013.152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Inverted pendulum is a classic example in the field of nonlinear control theory, which can be observed in the many real world control problems. In this paper, first, a feedback linearization control method is designed and employed to make informative pair of input-output data for controlling a nonlinear inverted pendulum. Then, Based on the pair of input-output data a stable T-S fuzzy controller is designed. The fuzzy clustering method (FCM) is used as a rule extraction approach to properly generate the fuzzy-rule base. Finally, the proposed controller is applied to a nonlinear inverted pendulum system. The results demonstrate the stability, the working, and the applicability of the proposed method.\",\"PeriodicalId\":222375,\"journal\":{\"name\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2013.152\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2013.152","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

倒立摆是非线性控制理论领域的一个经典例子,在现实世界的许多控制问题中都可以观察到它的存在。本文首先设计了一种反馈线性化控制方法,并将其应用于非线性倒立摆控制的输入输出数据的信息对。然后,基于输入输出数据对,设计了稳定的T-S模糊控制器。采用模糊聚类方法作为规则提取方法,合理地生成模糊规则库。最后,将所提出的控制器应用于非线性倒立摆系统。结果表明了该方法的稳定性、有效性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Stable T-S Fuzzy Controller for a Nonlinear Inverted Pendulum System
Inverted pendulum is a classic example in the field of nonlinear control theory, which can be observed in the many real world control problems. In this paper, first, a feedback linearization control method is designed and employed to make informative pair of input-output data for controlling a nonlinear inverted pendulum. Then, Based on the pair of input-output data a stable T-S fuzzy controller is designed. The fuzzy clustering method (FCM) is used as a rule extraction approach to properly generate the fuzzy-rule base. Finally, the proposed controller is applied to a nonlinear inverted pendulum system. The results demonstrate the stability, the working, and the applicability of the proposed method.
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:604180095
Book学术官方微信