{"title":"Adaptive output feedback control of uncertain gear transmission system with dead zone nonlinearity","authors":"B. Xie, Wei Wang, Zongyu Zuo","doi":"10.1109/ICIEA.2018.8397757","DOIUrl":null,"url":null,"abstract":"In this paper, a backstepping based adaptive output feedback control scheme is presented for a gear transmission servo system with an uncertain sandwiched dead-zone nonlinearity and uncertain motor parameters. To handle the issue that only the angular position of driven gear is measurable, state estimation filters are designed. By introducing a nonlinear damping term in the virtual control design of each recursive step and adding robust terms in the parameter update laws, the effects due to dead-zone nonlinearity are effectively compensated. It is shown that all the closed-loop signals are ensured bounded and the output regulation error converges to a compact set. Simulation results are provided to show the effectiveness of the proposed adaptive control scheme.","PeriodicalId":140420,"journal":{"name":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2018.8397757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, a backstepping based adaptive output feedback control scheme is presented for a gear transmission servo system with an uncertain sandwiched dead-zone nonlinearity and uncertain motor parameters. To handle the issue that only the angular position of driven gear is measurable, state estimation filters are designed. By introducing a nonlinear damping term in the virtual control design of each recursive step and adding robust terms in the parameter update laws, the effects due to dead-zone nonlinearity are effectively compensated. It is shown that all the closed-loop signals are ensured bounded and the output regulation error converges to a compact set. Simulation results are provided to show the effectiveness of the proposed adaptive control scheme.