{"title":"永磁同步电机MIMO IMC-TS模糊速度控制器的设计","authors":"R. García, J. Pinto, E. Batista, L. Galotto","doi":"10.1109/COBEP.2017.8257434","DOIUrl":null,"url":null,"abstract":"This paper presents the design of a Fuzzy speed controller for a permanent magnet synchronous motor (PMSM), based on a MIMO model of the motor, internal model controller (IMC) and Takagi-Sugeno Fuzzy modeling technique. The outputs of the MIMO of the PMSMl are the d-axis stator current and the mechanical speed, which are required to control the speed of PMSM below and above its nominal speed. A MIMO model allows a better representation of the influence between these outputs signals. Takagi-Sugeno Fuzzy controllers and internal model controllers allows reducing the steady-state error. Linear matrix inequalities were used to get the local controllers and set the dynamics of the close-loop plant. Simulation and experimental tests using hardware-in-the-loop prove the accuracy of the proposed controller, even considering variation in the motor parameters.","PeriodicalId":375493,"journal":{"name":"2017 Brazilian Power Electronics Conference (COBEP)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Design of a MIMO IMC-TS fuzzy speed controller for PMSM\",\"authors\":\"R. García, J. Pinto, E. Batista, L. Galotto\",\"doi\":\"10.1109/COBEP.2017.8257434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the design of a Fuzzy speed controller for a permanent magnet synchronous motor (PMSM), based on a MIMO model of the motor, internal model controller (IMC) and Takagi-Sugeno Fuzzy modeling technique. The outputs of the MIMO of the PMSMl are the d-axis stator current and the mechanical speed, which are required to control the speed of PMSM below and above its nominal speed. A MIMO model allows a better representation of the influence between these outputs signals. Takagi-Sugeno Fuzzy controllers and internal model controllers allows reducing the steady-state error. Linear matrix inequalities were used to get the local controllers and set the dynamics of the close-loop plant. Simulation and experimental tests using hardware-in-the-loop prove the accuracy of the proposed controller, even considering variation in the motor parameters.\",\"PeriodicalId\":375493,\"journal\":{\"name\":\"2017 Brazilian Power Electronics Conference (COBEP)\",\"volume\":\"151 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Brazilian Power Electronics Conference (COBEP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COBEP.2017.8257434\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Brazilian Power Electronics Conference (COBEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COBEP.2017.8257434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of a MIMO IMC-TS fuzzy speed controller for PMSM
This paper presents the design of a Fuzzy speed controller for a permanent magnet synchronous motor (PMSM), based on a MIMO model of the motor, internal model controller (IMC) and Takagi-Sugeno Fuzzy modeling technique. The outputs of the MIMO of the PMSMl are the d-axis stator current and the mechanical speed, which are required to control the speed of PMSM below and above its nominal speed. A MIMO model allows a better representation of the influence between these outputs signals. Takagi-Sugeno Fuzzy controllers and internal model controllers allows reducing the steady-state error. Linear matrix inequalities were used to get the local controllers and set the dynamics of the close-loop plant. Simulation and experimental tests using hardware-in-the-loop prove the accuracy of the proposed controller, even considering variation in the motor parameters.