{"title":"Optimization of PMSM Performance with Torque Ripple Reduction and Loss Considerations","authors":"Cristian A. Lopez, E. Strangas","doi":"10.1109/ICELMACH.2018.8506873","DOIUrl":null,"url":null,"abstract":"The performance of an optimized PMSM machine could be improved by using a control-based torque ripple reduction technique. Optimization of PMSM performance including a torque ripple reduction current injection technique and increasing the operating current, while keeping copper losses to a minimum could lead to a larger set of possible optimal solutions. By adding a torque ripple reduction method to the previously optimized geometries that would be not acceptable, they can become acceptable and optimal, with minimum added losses. Combining cases studied through FEM and a splines regression model together, with a non-sorting genetic algorithm, solutions that have injection and no injection are found to be optimal. This allows the designer to have geometries that would otherwise be rejected become acceptable.","PeriodicalId":292261,"journal":{"name":"2018 XIII International Conference on Electrical Machines (ICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 XIII International Conference on Electrical Machines (ICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICELMACH.2018.8506873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The performance of an optimized PMSM machine could be improved by using a control-based torque ripple reduction technique. Optimization of PMSM performance including a torque ripple reduction current injection technique and increasing the operating current, while keeping copper losses to a minimum could lead to a larger set of possible optimal solutions. By adding a torque ripple reduction method to the previously optimized geometries that would be not acceptable, they can become acceptable and optimal, with minimum added losses. Combining cases studied through FEM and a splines regression model together, with a non-sorting genetic algorithm, solutions that have injection and no injection are found to be optimal. This allows the designer to have geometries that would otherwise be rejected become acceptable.