S. Nategh, A. Ghasemi, R. Kianinezhad, S. Seifossadat, M. Saneie
{"title":"基于改进模糊模型的六相感应电机无传感器控制","authors":"S. Nategh, A. Ghasemi, R. Kianinezhad, S. Seifossadat, M. Saneie","doi":"10.1109/ICIEA.2008.4582763","DOIUrl":null,"url":null,"abstract":"The presented paper proposes a new scheme for the speed sensorless control of six phase induction motor. This method is based on the current estimation, in which the controlled stator voltage is applied to the induction motor so that the difference between stator currents of the mathematical model and motor can be forced to decay to zero. To make a better dynamic response and reduce the transient time, conventional PI controller has improved using non-linear scale controller. Also fuzzy logic controller has been used to obtain synchronous speed and eliminate steady-state speed error. The performance of the proposed algorithm is verified through simulation.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An improved fuzzy model based sensorless control for six-phase induction machines\",\"authors\":\"S. Nategh, A. Ghasemi, R. Kianinezhad, S. Seifossadat, M. Saneie\",\"doi\":\"10.1109/ICIEA.2008.4582763\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The presented paper proposes a new scheme for the speed sensorless control of six phase induction motor. This method is based on the current estimation, in which the controlled stator voltage is applied to the induction motor so that the difference between stator currents of the mathematical model and motor can be forced to decay to zero. To make a better dynamic response and reduce the transient time, conventional PI controller has improved using non-linear scale controller. Also fuzzy logic controller has been used to obtain synchronous speed and eliminate steady-state speed error. The performance of the proposed algorithm is verified through simulation.\",\"PeriodicalId\":309894,\"journal\":{\"name\":\"2008 3rd IEEE Conference on Industrial Electronics and Applications\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 3rd IEEE Conference on Industrial Electronics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2008.4582763\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 3rd IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2008.4582763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved fuzzy model based sensorless control for six-phase induction machines
The presented paper proposes a new scheme for the speed sensorless control of six phase induction motor. This method is based on the current estimation, in which the controlled stator voltage is applied to the induction motor so that the difference between stator currents of the mathematical model and motor can be forced to decay to zero. To make a better dynamic response and reduce the transient time, conventional PI controller has improved using non-linear scale controller. Also fuzzy logic controller has been used to obtain synchronous speed and eliminate steady-state speed error. The performance of the proposed algorithm is verified through simulation.