{"title":"区间2型T-S型永磁同步电机模糊控制","authors":"Yuan-Chih Chang, Yi-Chien Liao, Chien-Yu Huang","doi":"10.1109/IFEEC47410.2019.9015149","DOIUrl":null,"url":null,"abstract":"Interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy control of permanent-magnet synchronous motor (PMSM) is developed in this paper. IT2 T-S fuzzy system is proposed to control speed and current of a PMSM. The IT2 T-S fuzzy model of a PMSM is first derived from its nonlinear dynamic model. Next, the IT2 T-S fuzzy controller is designed via parallel distributed compensation (PDC). The stability conditions of the proposed controller are obtained by Linear Matrix Inequality (LMI). The encoder signals are implemented to calculate rotor speed and rotor position. The three-phase winding currents are properly sensed into the microcontroller. The corresponding duty ratios of power switches are determined using IT2 T-S fuzzy controller. Finally, the driving performance is validated via experimental results. Moreover, the interval type-1 T-S fuzzy control is compared to verify the improvement in driving performance.","PeriodicalId":230939,"journal":{"name":"2019 IEEE 4th International Future Energy Electronics Conference (IFEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interval Type-2 T-S Fuzzy Control of Permanent-Magnet Synchronous Motor\",\"authors\":\"Yuan-Chih Chang, Yi-Chien Liao, Chien-Yu Huang\",\"doi\":\"10.1109/IFEEC47410.2019.9015149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy control of permanent-magnet synchronous motor (PMSM) is developed in this paper. IT2 T-S fuzzy system is proposed to control speed and current of a PMSM. The IT2 T-S fuzzy model of a PMSM is first derived from its nonlinear dynamic model. Next, the IT2 T-S fuzzy controller is designed via parallel distributed compensation (PDC). The stability conditions of the proposed controller are obtained by Linear Matrix Inequality (LMI). The encoder signals are implemented to calculate rotor speed and rotor position. The three-phase winding currents are properly sensed into the microcontroller. The corresponding duty ratios of power switches are determined using IT2 T-S fuzzy controller. Finally, the driving performance is validated via experimental results. Moreover, the interval type-1 T-S fuzzy control is compared to verify the improvement in driving performance.\",\"PeriodicalId\":230939,\"journal\":{\"name\":\"2019 IEEE 4th International Future Energy Electronics Conference (IFEEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 4th International Future Energy Electronics Conference (IFEEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IFEEC47410.2019.9015149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 4th International Future Energy Electronics Conference (IFEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFEEC47410.2019.9015149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interval Type-2 T-S Fuzzy Control of Permanent-Magnet Synchronous Motor
Interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy control of permanent-magnet synchronous motor (PMSM) is developed in this paper. IT2 T-S fuzzy system is proposed to control speed and current of a PMSM. The IT2 T-S fuzzy model of a PMSM is first derived from its nonlinear dynamic model. Next, the IT2 T-S fuzzy controller is designed via parallel distributed compensation (PDC). The stability conditions of the proposed controller are obtained by Linear Matrix Inequality (LMI). The encoder signals are implemented to calculate rotor speed and rotor position. The three-phase winding currents are properly sensed into the microcontroller. The corresponding duty ratios of power switches are determined using IT2 T-S fuzzy controller. Finally, the driving performance is validated via experimental results. Moreover, the interval type-1 T-S fuzzy control is compared to verify the improvement in driving performance.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
