{"title":"用分数阶模型识别PEA的迟滞特性","authors":"A. Rebai, Kamel GUESMI, D. Gozim, B. Hemici","doi":"10.1109/STA.2014.7086665","DOIUrl":null,"url":null,"abstract":"This paper deals with the identification of the hysteresis property existing in piezoelectric actuators (PEA). In this paper, a fractional order model is used with the Recursive Least Squares (RLS) algorithm extended to fractional order models. The proposed approach is validated through numerical simulations and a comparison study is carried out to evaluate its performances.","PeriodicalId":125957,"journal":{"name":"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Identification of the PEA hysteresis property using a fractional order model\",\"authors\":\"A. Rebai, Kamel GUESMI, D. Gozim, B. Hemici\",\"doi\":\"10.1109/STA.2014.7086665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the identification of the hysteresis property existing in piezoelectric actuators (PEA). In this paper, a fractional order model is used with the Recursive Least Squares (RLS) algorithm extended to fractional order models. The proposed approach is validated through numerical simulations and a comparison study is carried out to evaluate its performances.\",\"PeriodicalId\":125957,\"journal\":{\"name\":\"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STA.2014.7086665\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STA.2014.7086665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of the PEA hysteresis property using a fractional order model
This paper deals with the identification of the hysteresis property existing in piezoelectric actuators (PEA). In this paper, a fractional order model is used with the Recursive Least Squares (RLS) algorithm extended to fractional order models. The proposed approach is validated through numerical simulations and a comparison study is carried out to evaluate its performances.