O. N. Almasi, Mohsen Shadman, Omid Abri Avval, A. Zare
{"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}
引用次数: 1
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.