{"title":"Tracking control of induction motor drive for machine tools","authors":"Igor Skrlec, Pavol Varga, M. Zalman","doi":"10.1109/EDPE.2015.7325278","DOIUrl":null,"url":null,"abstract":"The paper demonstrates potential of application of nonlinear control theory for tracking control of induction motor drive for machining applications. Control algorithm is based on nonlinear control theory. The paper includes also analysis of influence of parameter variations. Information about state variables needed for control is obtained from a nonlinear Luenberger-type observer designed using the same methodology as the controller. The target application is motion control for machine tools using energy beam technologies.","PeriodicalId":246203,"journal":{"name":"2015 International Conference on Electrical Drives and Power Electronics (EDPE)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Electrical Drives and Power Electronics (EDPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDPE.2015.7325278","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
The paper demonstrates potential of application of nonlinear control theory for tracking control of induction motor drive for machining applications. Control algorithm is based on nonlinear control theory. The paper includes also analysis of influence of parameter variations. Information about state variables needed for control is obtained from a nonlinear Luenberger-type observer designed using the same methodology as the controller. The target application is motion control for machine tools using energy beam technologies.
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