{"title":"磁性器件低阶模型自动提取系统的研究","authors":"L. Qu, P. Chapman","doi":"10.1109/COMPEL.2006.305674","DOIUrl":null,"url":null,"abstract":"A system for automatic extraction of low-order models for magnetic devices, such as inductors, transformers and electric machines, is presented. The physics-based models, derived by mathematical approaches starting from established physical principles, are constructed without ad-hoc assumption. Then, low-order models are mathematically extracted by using order-reduction techniques with quantifiable error bounds. Simple, rapid-to-simulate mathematical models are achieved and ready to be integrated into system-level simulation circuits","PeriodicalId":210889,"journal":{"name":"2006 IEEE Workshops on Computers in Power Electronics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Toward a System for Automatic Extraction of Low-Order Models for Magnetic Devices\",\"authors\":\"L. Qu, P. Chapman\",\"doi\":\"10.1109/COMPEL.2006.305674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A system for automatic extraction of low-order models for magnetic devices, such as inductors, transformers and electric machines, is presented. The physics-based models, derived by mathematical approaches starting from established physical principles, are constructed without ad-hoc assumption. Then, low-order models are mathematically extracted by using order-reduction techniques with quantifiable error bounds. Simple, rapid-to-simulate mathematical models are achieved and ready to be integrated into system-level simulation circuits\",\"PeriodicalId\":210889,\"journal\":{\"name\":\"2006 IEEE Workshops on Computers in Power Electronics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Workshops on Computers in Power Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPEL.2006.305674\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Workshops on Computers in Power Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPEL.2006.305674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward a System for Automatic Extraction of Low-Order Models for Magnetic Devices
A system for automatic extraction of low-order models for magnetic devices, such as inductors, transformers and electric machines, is presented. The physics-based models, derived by mathematical approaches starting from established physical principles, are constructed without ad-hoc assumption. Then, low-order models are mathematically extracted by using order-reduction techniques with quantifiable error bounds. Simple, rapid-to-simulate mathematical models are achieved and ready to be integrated into system-level simulation circuits