{"title":"飞机用十二脉冲二极管整流器随机多项式混沌平均模型","authors":"Q. Su, Kai Strunz","doi":"10.1109/COMPEL.2006.305653","DOIUrl":null,"url":null,"abstract":"Polynomial chaos is used to identify the uncertainty associated with the twelve-pulse AC/DC diode rectifier stage of aircraft power systems. The proposed stochastic average model is integrated within the overall power system model by means of nodal analysis and is suitable for the study of transients in the time domain. It is demonstrated that compared with the application of the Monte Carlo method, the proposed method is fast and accurate","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":"6","resultStr":"{\"title\":\"Stochastic Polynomial-Chaos-Based Average Model of Twelve-Pulse Diode Rectifier for Aircraft Applications\",\"authors\":\"Q. Su, Kai Strunz\",\"doi\":\"10.1109/COMPEL.2006.305653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Polynomial chaos is used to identify the uncertainty associated with the twelve-pulse AC/DC diode rectifier stage of aircraft power systems. The proposed stochastic average model is integrated within the overall power system model by means of nodal analysis and is suitable for the study of transients in the time domain. It is demonstrated that compared with the application of the Monte Carlo method, the proposed method is fast and accurate\",\"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\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Workshops on Computers in Power Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPEL.2006.305653\",\"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.2006.305653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stochastic Polynomial-Chaos-Based Average Model of Twelve-Pulse Diode Rectifier for Aircraft Applications
Polynomial chaos is used to identify the uncertainty associated with the twelve-pulse AC/DC diode rectifier stage of aircraft power systems. The proposed stochastic average model is integrated within the overall power system model by means of nodal analysis and is suitable for the study of transients in the time domain. It is demonstrated that compared with the application of the Monte Carlo method, the proposed method is fast and accurate