{"title":"基于自适应模糊逻辑和滑模的永磁同步电机控制","authors":"Hakim Teiar, H. Chaoui, P. Sicard","doi":"10.1109/IECON.2013.6699615","DOIUrl":null,"url":null,"abstract":"A hybrid control system for PMSM that requires rough knowledge of the machine's quadrature inductance only is proposed. The scheme consists of an adaptive fuzzy speed controller and a sliding mode current controller. Lyapunov stability conditions are used to design the controllers that result into low sensitivity to torque disturbances and parameter variations.","PeriodicalId":237327,"journal":{"name":"IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society","volume":"176 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"PMSM control based on adaptive fuzzy logic and sliding mode\",\"authors\":\"Hakim Teiar, H. Chaoui, P. Sicard\",\"doi\":\"10.1109/IECON.2013.6699615\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A hybrid control system for PMSM that requires rough knowledge of the machine's quadrature inductance only is proposed. The scheme consists of an adaptive fuzzy speed controller and a sliding mode current controller. Lyapunov stability conditions are used to design the controllers that result into low sensitivity to torque disturbances and parameter variations.\",\"PeriodicalId\":237327,\"journal\":{\"name\":\"IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society\",\"volume\":\"176 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2013.6699615\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2013.6699615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PMSM control based on adaptive fuzzy logic and sliding mode
A hybrid control system for PMSM that requires rough knowledge of the machine's quadrature inductance only is proposed. The scheme consists of an adaptive fuzzy speed controller and a sliding mode current controller. Lyapunov stability conditions are used to design the controllers that result into low sensitivity to torque disturbances and parameter variations.