{"title":"减少开关磁阻电机转矩脉动的最佳定子齿形","authors":"Yanni Li, D. Aliprantis","doi":"10.1109/IEMDC.2013.6556224","DOIUrl":null,"url":null,"abstract":"This paper presents a novel method to obtain optimum stator tooth shapes of switched reluctance motors (SRMs) considering tradeoffs between average torque and torque ripple. Typically, torque ripple in SRMs is mitigated by current waveform shaping for a given machine design. Here, the issue is addressed using an inverse approach: the best geometry is found for a given current waveform. A hybrid finite element/airgap macro-element method with steepest descent optimization is used.","PeriodicalId":199452,"journal":{"name":"2013 International Electric Machines & Drives Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Optimum stator tooth shapes for torque ripple reduction in switched reluctance motors\",\"authors\":\"Yanni Li, D. Aliprantis\",\"doi\":\"10.1109/IEMDC.2013.6556224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel method to obtain optimum stator tooth shapes of switched reluctance motors (SRMs) considering tradeoffs between average torque and torque ripple. Typically, torque ripple in SRMs is mitigated by current waveform shaping for a given machine design. Here, the issue is addressed using an inverse approach: the best geometry is found for a given current waveform. A hybrid finite element/airgap macro-element method with steepest descent optimization is used.\",\"PeriodicalId\":199452,\"journal\":{\"name\":\"2013 International Electric Machines & Drives Conference\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Electric Machines & Drives Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMDC.2013.6556224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Electric Machines & Drives Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMDC.2013.6556224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimum stator tooth shapes for torque ripple reduction in switched reluctance motors
This paper presents a novel method to obtain optimum stator tooth shapes of switched reluctance motors (SRMs) considering tradeoffs between average torque and torque ripple. Typically, torque ripple in SRMs is mitigated by current waveform shaping for a given machine design. Here, the issue is addressed using an inverse approach: the best geometry is found for a given current waveform. A hybrid finite element/airgap macro-element method with steepest descent optimization is used.
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