{"title":"Nonlinear control of a double-electromagnet suspension system","authors":"A. Maghsoudlu, R. Barzamini, K. D. Farahani","doi":"10.1109/ESARS.2010.5665254","DOIUrl":null,"url":null,"abstract":"In this paper a feedback linearization is presented that addresses the coupling effects between two groups of electromagnetic trains. The module, based on some reasonable assumptions of nonlinear mathematical model, is modeled as a double-electromagnet system. The proposed algorithm in tracking has a satisfying performance in presence of unknown changes in the mass. It also shows robustness against the presence of measurement noises which is the case in the considered plant where all sensors collect noise from the environment. The simulation results show the capability of the proposed algorithm in the presence of input and output perturbation.","PeriodicalId":134406,"journal":{"name":"Electrical Systems for Aircraft, Railway and Ship Propulsion","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electrical Systems for Aircraft, Railway and Ship Propulsion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESARS.2010.5665254","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
In this paper a feedback linearization is presented that addresses the coupling effects between two groups of electromagnetic trains. The module, based on some reasonable assumptions of nonlinear mathematical model, is modeled as a double-electromagnet system. The proposed algorithm in tracking has a satisfying performance in presence of unknown changes in the mass. It also shows robustness against the presence of measurement noises which is the case in the considered plant where all sensors collect noise from the environment. The simulation results show the capability of the proposed algorithm in the presence of input and output perturbation.