{"title":"基于POD的电机动态仿真简化模型降阶实现","authors":"K. Okamoto, Hiroki Sakamoto, H. Igarashi","doi":"10.1109/COMPUMAG45669.2019.9032801","DOIUrl":null,"url":null,"abstract":"This paper proposes a fast method for dynamic simulation of electric motors using the simplified model order reduction based on the proper orthogonal decomposition (POD). In the proposed method, the reduced variables multiplied to the basis vectors of magnetic field are directly interpolated using finite elements on the space spanned by the input currents. The field quantities such as torque and iron loss are computed at high computational efficiency without solving equations in the dynamic simulation. It is shown that the proposed method works more than fifty times faster than the conventional finite element method at high accuracy.","PeriodicalId":317315,"journal":{"name":"2019 22nd International Conference on the Computation of Electromagnetic Fields (COMPUMAG)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Implementation of Simplified Model Order Reduction Based on POD for Dynamic Simulation of Electric Motors\",\"authors\":\"K. Okamoto, Hiroki Sakamoto, H. Igarashi\",\"doi\":\"10.1109/COMPUMAG45669.2019.9032801\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a fast method for dynamic simulation of electric motors using the simplified model order reduction based on the proper orthogonal decomposition (POD). In the proposed method, the reduced variables multiplied to the basis vectors of magnetic field are directly interpolated using finite elements on the space spanned by the input currents. The field quantities such as torque and iron loss are computed at high computational efficiency without solving equations in the dynamic simulation. It is shown that the proposed method works more than fifty times faster than the conventional finite element method at high accuracy.\",\"PeriodicalId\":317315,\"journal\":{\"name\":\"2019 22nd International Conference on the Computation of Electromagnetic Fields (COMPUMAG)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 22nd International Conference on the Computation of Electromagnetic Fields (COMPUMAG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPUMAG45669.2019.9032801\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 22nd International Conference on the Computation of Electromagnetic Fields (COMPUMAG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPUMAG45669.2019.9032801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of Simplified Model Order Reduction Based on POD for Dynamic Simulation of Electric Motors
This paper proposes a fast method for dynamic simulation of electric motors using the simplified model order reduction based on the proper orthogonal decomposition (POD). In the proposed method, the reduced variables multiplied to the basis vectors of magnetic field are directly interpolated using finite elements on the space spanned by the input currents. The field quantities such as torque and iron loss are computed at high computational efficiency without solving equations in the dynamic simulation. It is shown that the proposed method works more than fifty times faster than the conventional finite element method at high accuracy.