{"title":"基于mrac的永磁同步电机铁损电阻识别方法*","authors":"Xiaohua Zeng, Hongxu Chen, D. Song, Chen Cui","doi":"10.1109/CVCI51460.2020.9338611","DOIUrl":null,"url":null,"abstract":"In order to calculate the iron loss resistance of the permanent magnet synchronous motor (PMSM) in real time, this paper presents an identification method of iron loss resistance based on model reference adaptive control (MRAC), and designs the adaptive mechansim by Popov's hyperstability theory. According to the equivalent phase d-q circuit model of PMSM considering the iron loss resistance, the simplified PMSM model in the original Simulink motor library is modified. The MRAC-based identification method is simulated on the modified PMSM system under steady and dynamic conditions. The simulation results show that the estimated value of iron loss resistance can effectively converge to the real value. By adjusting the PI parameters and adding a low-pass filter, the robustness and dynamic characteristics of the identification system are improved.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MRAC-based identification method of iron loss resistance for permanent magnet synchronous motor*\",\"authors\":\"Xiaohua Zeng, Hongxu Chen, D. Song, Chen Cui\",\"doi\":\"10.1109/CVCI51460.2020.9338611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to calculate the iron loss resistance of the permanent magnet synchronous motor (PMSM) in real time, this paper presents an identification method of iron loss resistance based on model reference adaptive control (MRAC), and designs the adaptive mechansim by Popov's hyperstability theory. According to the equivalent phase d-q circuit model of PMSM considering the iron loss resistance, the simplified PMSM model in the original Simulink motor library is modified. The MRAC-based identification method is simulated on the modified PMSM system under steady and dynamic conditions. The simulation results show that the estimated value of iron loss resistance can effectively converge to the real value. By adjusting the PI parameters and adding a low-pass filter, the robustness and dynamic characteristics of the identification system are improved.\",\"PeriodicalId\":119721,\"journal\":{\"name\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVCI51460.2020.9338611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVCI51460.2020.9338611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MRAC-based identification method of iron loss resistance for permanent magnet synchronous motor*
In order to calculate the iron loss resistance of the permanent magnet synchronous motor (PMSM) in real time, this paper presents an identification method of iron loss resistance based on model reference adaptive control (MRAC), and designs the adaptive mechansim by Popov's hyperstability theory. According to the equivalent phase d-q circuit model of PMSM considering the iron loss resistance, the simplified PMSM model in the original Simulink motor library is modified. The MRAC-based identification method is simulated on the modified PMSM system under steady and dynamic conditions. The simulation results show that the estimated value of iron loss resistance can effectively converge to the real value. By adjusting the PI parameters and adding a low-pass filter, the robustness and dynamic characteristics of the identification system are improved.