L. Dritsas, A. Zagorianos, A. Pantelous, V. Tsoulkas
{"title":"Assessment of Linear Set-Point Controllers for a Direct Drive Nonlinear Pendulum","authors":"L. Dritsas, A. Zagorianos, A. Pantelous, V. Tsoulkas","doi":"10.1109/UKSIM.2011.46","DOIUrl":null,"url":null,"abstract":"This paper is concerned with the design of linearset -- point controllers for a specific nonlinear system: a motor driven pendulum. It is shown that when input constraints and delays are present, the synthesis procedure is non trivial. Even if the design is based on mature theoretical basis, extensive nonlinear simulations are the only practical way to ensure that the linear design offers acceptable tracking performance in a large operation range while respecting the requirements of input constraints and robustness.","PeriodicalId":161995,"journal":{"name":"2011 UkSim 13th International Conference on Computer Modelling and Simulation","volume":"217 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 UkSim 13th International Conference on Computer Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKSIM.2011.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper is concerned with the design of linearset -- point controllers for a specific nonlinear system: a motor driven pendulum. It is shown that when input constraints and delays are present, the synthesis procedure is non trivial. Even if the design is based on mature theoretical basis, extensive nonlinear simulations are the only practical way to ensure that the linear design offers acceptable tracking performance in a large operation range while respecting the requirements of input constraints and robustness.