{"title":"Identification of 2-DOF pneumatic artificial muscle system with multilayer fuzzy logic and differential evolution algorithm","authors":"Cao Van Kien, Nguyen Ngoc Son, H. Anh","doi":"10.1109/ICIEA.2017.8283033","DOIUrl":null,"url":null,"abstract":"This paper proposes a new method for identifying a nonlinear pneumatic artificial muscle (PAM) 2-dof parallel system based on the novel NARX multilayer fuzzy model optimized by differential evolution (DE) algorithm. A multilayer fuzzy system is created by combining several MISO multilayer fuzzy models. Each MISO multilayer Fuzzy model is implemented through several Fuzzy Takagi-Sugeno sets. Then fuzzy structures and fuzzy rules of proposed multilayer fuzzy model were optimally trained by DE algorithm. The experiment results are presented. It proves a promisingly scalable and simple method to successfully identify nonlinear MIMO system.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2017.8283033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This paper proposes a new method for identifying a nonlinear pneumatic artificial muscle (PAM) 2-dof parallel system based on the novel NARX multilayer fuzzy model optimized by differential evolution (DE) algorithm. A multilayer fuzzy system is created by combining several MISO multilayer fuzzy models. Each MISO multilayer Fuzzy model is implemented through several Fuzzy Takagi-Sugeno sets. Then fuzzy structures and fuzzy rules of proposed multilayer fuzzy model were optimally trained by DE algorithm. The experiment results are presented. It proves a promisingly scalable and simple method to successfully identify nonlinear MIMO system.
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