{"title":"基于遗传和模糊算法的永磁同步电机速度控制","authors":"Arundhuti Haldar, Riddhi Khatua","doi":"10.1109/ICITIIT54346.2022.9744234","DOIUrl":null,"url":null,"abstract":"This paper investigates the different advanced algorithms employed for the speed control of a Permanent Magnet Synchronous Machine (PMSM). Speed control is achieved by tuning the PI controller with fuzzy and genetic algorithm. Finally, the results are compared with the conventional method of PI tuning. The simulation process has been carried out in MATLAB.","PeriodicalId":184353,"journal":{"name":"2022 International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Speed Control of Permanent Magnet Synchronous Machine using Genetic and Fuzzy Algorithm\",\"authors\":\"Arundhuti Haldar, Riddhi Khatua\",\"doi\":\"10.1109/ICITIIT54346.2022.9744234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the different advanced algorithms employed for the speed control of a Permanent Magnet Synchronous Machine (PMSM). Speed control is achieved by tuning the PI controller with fuzzy and genetic algorithm. Finally, the results are compared with the conventional method of PI tuning. The simulation process has been carried out in MATLAB.\",\"PeriodicalId\":184353,\"journal\":{\"name\":\"2022 International Conference on Innovative Trends in Information Technology (ICITIIT)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Innovative Trends in Information Technology (ICITIIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITIIT54346.2022.9744234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Innovative Trends in Information Technology (ICITIIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITIIT54346.2022.9744234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Speed Control of Permanent Magnet Synchronous Machine using Genetic and Fuzzy Algorithm
This paper investigates the different advanced algorithms employed for the speed control of a Permanent Magnet Synchronous Machine (PMSM). Speed control is achieved by tuning the PI controller with fuzzy and genetic algorithm. Finally, the results are compared with the conventional method of PI tuning. The simulation process has been carried out in MATLAB.