{"title":"Efficient and Robust Modeling of Vector Magnetic Hysteresis: An Engineering Approach","authors":"A. M. Ghanim, H. Rimal","doi":"10.1109/MELECON48756.2020.9140705","DOIUrl":null,"url":null,"abstract":"The main aim of this paper is to introduce and discuss a refined model of magnetic hysteresis applied to the design of motors, transformers, and other magnetic actuators used in avionic applications. The model of magnetic hysteresis is incorporated into a 1-D and 2-D finite element method solvers in time domain. The particular attention to the accurate prediction of the magnetic losses allows an appreciable control and limitation in the volume and weight of the components that is a critical issue in avionic environment. Classical electrical steels for avionic components are taken into account in the paper. The related identification procedure of the model by dedicated measurements and artificial intelligence algorithm is applied. A test benchmark is presented and discussed and the predicted results are compared to the experimental results.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELECON48756.2020.9140705","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
The main aim of this paper is to introduce and discuss a refined model of magnetic hysteresis applied to the design of motors, transformers, and other magnetic actuators used in avionic applications. The model of magnetic hysteresis is incorporated into a 1-D and 2-D finite element method solvers in time domain. The particular attention to the accurate prediction of the magnetic losses allows an appreciable control and limitation in the volume and weight of the components that is a critical issue in avionic environment. Classical electrical steels for avionic components are taken into account in the paper. The related identification procedure of the model by dedicated measurements and artificial intelligence algorithm is applied. A test benchmark is presented and discussed and the predicted results are compared to the experimental results.