{"title":"Torque Profile Improvement of a Synchronous Reluctance Motor through Optimizing the Rotor Flux Barriers Ends","authors":"A. Nobahari, A. Vahedi, F. Mahmouditabar","doi":"10.1109/PSC49016.2019.9081540","DOIUrl":null,"url":null,"abstract":"Synchronous reluctance machines have gained interest due to their PM-free and robust structure and also the capability for high efficiency compared with the induction motors. In this paper, an efficient optimization procedure is studied to improve their torque profile characteristics including torque capability and torque ripple. For this purpose, the optimization is focused on the rotor flux barriers end sizing. A surrogate model is first developed based on the response surface methodology, and then an intelligent multi-objective optimization algorithm is used to find the optimal design. Finite elements model is employed to create the required dataset based on the Design of Experiments methods, as well as to verify the final results.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Power System Conference (PSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSC49016.2019.9081540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Synchronous reluctance machines have gained interest due to their PM-free and robust structure and also the capability for high efficiency compared with the induction motors. In this paper, an efficient optimization procedure is studied to improve their torque profile characteristics including torque capability and torque ripple. For this purpose, the optimization is focused on the rotor flux barriers end sizing. A surrogate model is first developed based on the response surface methodology, and then an intelligent multi-objective optimization algorithm is used to find the optimal design. Finite elements model is employed to create the required dataset based on the Design of Experiments methods, as well as to verify the final results.