{"title":"永磁同步电机的模型预测控制","authors":"S. Chai, Liuping Wang, E. Rogers","doi":"10.1109/IECON.2011.6119601","DOIUrl":null,"url":null,"abstract":"This paper describes the application of Model Predictive Control (MPC) to speed control of a Permanent Magnet Synchronous Motor (PMSM). The MPC design is based on a linearized state space representation of the nonlinear PMSM model. Hildreth's procedure is employed to solve the quadratic programming problem for the input voltage constraints online and supporting experimental results are also given.","PeriodicalId":105539,"journal":{"name":"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Model Predictive Control of a Permanent Magnet Synchronous Motor\",\"authors\":\"S. Chai, Liuping Wang, E. Rogers\",\"doi\":\"10.1109/IECON.2011.6119601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the application of Model Predictive Control (MPC) to speed control of a Permanent Magnet Synchronous Motor (PMSM). The MPC design is based on a linearized state space representation of the nonlinear PMSM model. Hildreth's procedure is employed to solve the quadratic programming problem for the input voltage constraints online and supporting experimental results are also given.\",\"PeriodicalId\":105539,\"journal\":{\"name\":\"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2011.6119601\",\"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 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2011.6119601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model Predictive Control of a Permanent Magnet Synchronous Motor
This paper describes the application of Model Predictive Control (MPC) to speed control of a Permanent Magnet Synchronous Motor (PMSM). The MPC design is based on a linearized state space representation of the nonlinear PMSM model. Hildreth's procedure is employed to solve the quadratic programming problem for the input voltage constraints online and supporting experimental results are also given.