{"title":"无传感器IPMSM驱动系统预测控制器的实现","authors":"Tian‐Hua Liu, Chih-Lun Chen, Jui-Ling Chen","doi":"10.1109/ICIT.2011.5754366","DOIUrl":null,"url":null,"abstract":"This paper proposes the predictive controller design for a sensorless interior permanent magnet synchronous motor drive system. The predictive controllers include a current-loop predictive controller and a speed-loop predictive controller. By using the proposed control algorithms, the closed-loop sensorless interior permanent magnet synchronous motor drive system can achieve fast transient responses, satisfactory load disturbance responses, and good tracking responses. A digital signal processor, TMS 320F2812, is used to perform the rotor position estimating algorithm and the predictive control algorithms. As a result, the hardware is very simple. Experimental results can validate the theoretical analysis and show the predictive controllers perform better than the PI controllers.","PeriodicalId":356868,"journal":{"name":"2011 IEEE International Conference on Industrial Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Implementation of a predictive controller for a sensorless IPMSM drive system\",\"authors\":\"Tian‐Hua Liu, Chih-Lun Chen, Jui-Ling Chen\",\"doi\":\"10.1109/ICIT.2011.5754366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes the predictive controller design for a sensorless interior permanent magnet synchronous motor drive system. The predictive controllers include a current-loop predictive controller and a speed-loop predictive controller. By using the proposed control algorithms, the closed-loop sensorless interior permanent magnet synchronous motor drive system can achieve fast transient responses, satisfactory load disturbance responses, and good tracking responses. A digital signal processor, TMS 320F2812, is used to perform the rotor position estimating algorithm and the predictive control algorithms. As a result, the hardware is very simple. Experimental results can validate the theoretical analysis and show the predictive controllers perform better than the PI controllers.\",\"PeriodicalId\":356868,\"journal\":{\"name\":\"2011 IEEE International Conference on Industrial Technology\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Industrial Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2011.5754366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Industrial Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2011.5754366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of a predictive controller for a sensorless IPMSM drive system
This paper proposes the predictive controller design for a sensorless interior permanent magnet synchronous motor drive system. The predictive controllers include a current-loop predictive controller and a speed-loop predictive controller. By using the proposed control algorithms, the closed-loop sensorless interior permanent magnet synchronous motor drive system can achieve fast transient responses, satisfactory load disturbance responses, and good tracking responses. A digital signal processor, TMS 320F2812, is used to perform the rotor position estimating algorithm and the predictive control algorithms. As a result, the hardware is very simple. Experimental results can validate the theoretical analysis and show the predictive controllers perform better than the PI controllers.