J. Vukašinović, Miloš Milovanović, N. Arsic, Jordan Radosavljević, S. Statkic
{"title":"基于混合元启发式算法的双笼型异步电动机参数估计","authors":"J. Vukašinović, Miloš Milovanović, N. Arsic, Jordan Radosavljević, S. Statkic","doi":"10.1109/INFOTEH53737.2022.9751304","DOIUrl":null,"url":null,"abstract":"In this paper, a hybrid metaheuristic algorithm, named the hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm (PPSOGSA), is proposed for estimating parameters of double-cage induction motors. The parameters are obtained by minimizing the objective function related to the error between the calculated and manufacturer data. The performances of the proposed algorithm are analyzed and evaluated using the motors of different powers. Compared to the original PSOGSA and other algorithms applied in solving the parameter estimation problem, it is found that the proposed algorithm has better performances.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"42 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Parameters estimation of double-cage induction motors using a hybrid metaheuristic algorithm\",\"authors\":\"J. Vukašinović, Miloš Milovanović, N. Arsic, Jordan Radosavljević, S. Statkic\",\"doi\":\"10.1109/INFOTEH53737.2022.9751304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a hybrid metaheuristic algorithm, named the hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm (PPSOGSA), is proposed for estimating parameters of double-cage induction motors. The parameters are obtained by minimizing the objective function related to the error between the calculated and manufacturer data. The performances of the proposed algorithm are analyzed and evaluated using the motors of different powers. Compared to the original PSOGSA and other algorithms applied in solving the parameter estimation problem, it is found that the proposed algorithm has better performances.\",\"PeriodicalId\":6839,\"journal\":{\"name\":\"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)\",\"volume\":\"42 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOTEH53737.2022.9751304\",\"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 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOTEH53737.2022.9751304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parameters estimation of double-cage induction motors using a hybrid metaheuristic algorithm
In this paper, a hybrid metaheuristic algorithm, named the hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm (PPSOGSA), is proposed for estimating parameters of double-cage induction motors. The parameters are obtained by minimizing the objective function related to the error between the calculated and manufacturer data. The performances of the proposed algorithm are analyzed and evaluated using the motors of different powers. Compared to the original PSOGSA and other algorithms applied in solving the parameter estimation problem, it is found that the proposed algorithm has better performances.
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