{"title":"THE FIRST-ORDER CHARACTERISTIC MODELS OF DYNAMIC SYSTEMS AND ADAPTIVE ITERATIVE LEARNING CONTROL OF LINEAR SERVO SYSTEMS","authors":"Sun Mingxuan, Li Zhile, YU Linjiang","doi":"10.12341/JSSMS11897","DOIUrl":null,"url":null,"abstract":"This paper presents the first-order time-varying difference equation,the characteristic model.Only two parameters are involved in the equation.The adaptive iterative learning control method is suggested to deal with the characteristic-model based control problem, where the learning identification algorithms with a forgetting factor are introduced to estimate the time-varying unknowns.For PMLSM servo-systems,in this paper,an adaptive iterative learning control scheme is proposed based on the LQ optimal control strategy.Numerical and expereiment results are presented to demonstrate effectiveness of the control scheme.","PeriodicalId":265315,"journal":{"name":"Journal of Systems Science and Mathematical Sciences","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems Science and Mathematical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12341/JSSMS11897","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
This paper presents the first-order time-varying difference equation,the characteristic model.Only two parameters are involved in the equation.The adaptive iterative learning control method is suggested to deal with the characteristic-model based control problem, where the learning identification algorithms with a forgetting factor are introduced to estimate the time-varying unknowns.For PMLSM servo-systems,in this paper,an adaptive iterative learning control scheme is proposed based on the LQ optimal control strategy.Numerical and expereiment results are presented to demonstrate effectiveness of the control scheme.