{"title":"磁饱和对感应电机建模的影响","authors":"Eemeli Molsa, S. Saarakkala, M. Hinkkanen","doi":"10.1109/ICELMACH.2018.8506746","DOIUrl":null,"url":null,"abstract":"This paper deals with modeling of a saturated induction machine. In control algorithms, the lnverse $-\\Gamma$ model is widely used. However, the saturation models are typically based on the T or $\\Gamma$ model. Transformation between these models is easy if the machine is magnetically linear, but since the motor saturates, the modeling becomes more complex. In this paper, we study the properties of the $\\Gamma$ and inverse $-\\Gamma$ models and the transformation between these two models when the saturation is taken into account. The phenomena related to model transformation are studied by means of analytical equations. Also, the functionality of the models is studied by means of laboratory experiments.","PeriodicalId":292261,"journal":{"name":"2018 XIII International Conference on Electrical Machines (ICEM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of Magnetic Saturation on Modeling of an Induction Motor\",\"authors\":\"Eemeli Molsa, S. Saarakkala, M. Hinkkanen\",\"doi\":\"10.1109/ICELMACH.2018.8506746\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with modeling of a saturated induction machine. In control algorithms, the lnverse $-\\\\Gamma$ model is widely used. However, the saturation models are typically based on the T or $\\\\Gamma$ model. Transformation between these models is easy if the machine is magnetically linear, but since the motor saturates, the modeling becomes more complex. In this paper, we study the properties of the $\\\\Gamma$ and inverse $-\\\\Gamma$ models and the transformation between these two models when the saturation is taken into account. The phenomena related to model transformation are studied by means of analytical equations. Also, the functionality of the models is studied by means of laboratory experiments.\",\"PeriodicalId\":292261,\"journal\":{\"name\":\"2018 XIII International Conference on Electrical Machines (ICEM)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 XIII International Conference on Electrical Machines (ICEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICELMACH.2018.8506746\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 XIII International Conference on Electrical Machines (ICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICELMACH.2018.8506746","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Influence of Magnetic Saturation on Modeling of an Induction Motor
This paper deals with modeling of a saturated induction machine. In control algorithms, the lnverse $-\Gamma$ model is widely used. However, the saturation models are typically based on the T or $\Gamma$ model. Transformation between these models is easy if the machine is magnetically linear, but since the motor saturates, the modeling becomes more complex. In this paper, we study the properties of the $\Gamma$ and inverse $-\Gamma$ models and the transformation between these two models when the saturation is taken into account. The phenomena related to model transformation are studied by means of analytical equations. Also, the functionality of the models is studied by means of laboratory experiments.