{"title":"Case study comparison of linear H∞ loop-shaping design and signal-based H∞ control","authors":"R. Jastrzebski, K. Hynynen, A. Smirnov","doi":"10.1109/ICAT.2009.5348423","DOIUrl":null,"url":null,"abstract":"This paper focuses on the design of a linear robust controller for a mechatronic system in the presence of real parametric and non-parametric frequency-dependent uncertainties. An Hinfin loop-shaping control design procedure is compared with a signal-based Hinfin control. The comparison of the robust controllers is carried out in the context of an active magnetic bearing rotor system. Experimental results demonstrate the better robust stability of the signal-based approach. A genetic algorithm is essential to credible comparison of different design approaches.","PeriodicalId":211842,"journal":{"name":"2009 XXII International Symposium on Information, Communication and Automation Technologies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 XXII International Symposium on Information, Communication and Automation Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAT.2009.5348423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper focuses on the design of a linear robust controller for a mechatronic system in the presence of real parametric and non-parametric frequency-dependent uncertainties. An Hinfin loop-shaping control design procedure is compared with a signal-based Hinfin control. The comparison of the robust controllers is carried out in the context of an active magnetic bearing rotor system. Experimental results demonstrate the better robust stability of the signal-based approach. A genetic algorithm is essential to credible comparison of different design approaches.