{"title":"无刷永磁电机设计中PSO-PID算法的优化研究","authors":"Yu Ren, Xiaobai Xu","doi":"10.1109/SEC.2008.40","DOIUrl":null,"url":null,"abstract":"Aiming at a complicated coupling and non-linear brushless DC motor (BLDCM) servo system, the conventional algorithms have many disadvantages, such as less precision, lower speed response. Taking the mechanical characteristics of BLDCM into consideration, an improved particle swarm optimization algorithm is presented in this paper, which is applied in the speed control of the Brushless DC Motor (BLDCM) servo system. Firstly, an improved Particle Swarm Optimization algorithm is introduced. Secondly, the way of finding PID coefficient will be studied by using this algorithm. Finally, the mathematical model of the servo system speed control is built by MATLAB/Simulink.","PeriodicalId":231129,"journal":{"name":"2008 Fifth IEEE International Symposium on Embedded Computing","volume":"81 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Optimization Research of PSO-PID Algorithm for the Design of Brushless Permanent Magnet Machines\",\"authors\":\"Yu Ren, Xiaobai Xu\",\"doi\":\"10.1109/SEC.2008.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at a complicated coupling and non-linear brushless DC motor (BLDCM) servo system, the conventional algorithms have many disadvantages, such as less precision, lower speed response. Taking the mechanical characteristics of BLDCM into consideration, an improved particle swarm optimization algorithm is presented in this paper, which is applied in the speed control of the Brushless DC Motor (BLDCM) servo system. Firstly, an improved Particle Swarm Optimization algorithm is introduced. Secondly, the way of finding PID coefficient will be studied by using this algorithm. Finally, the mathematical model of the servo system speed control is built by MATLAB/Simulink.\",\"PeriodicalId\":231129,\"journal\":{\"name\":\"2008 Fifth IEEE International Symposium on Embedded Computing\",\"volume\":\"81 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Fifth IEEE International Symposium on Embedded Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEC.2008.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Fifth IEEE International Symposium on Embedded Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEC.2008.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization Research of PSO-PID Algorithm for the Design of Brushless Permanent Magnet Machines
Aiming at a complicated coupling and non-linear brushless DC motor (BLDCM) servo system, the conventional algorithms have many disadvantages, such as less precision, lower speed response. Taking the mechanical characteristics of BLDCM into consideration, an improved particle swarm optimization algorithm is presented in this paper, which is applied in the speed control of the Brushless DC Motor (BLDCM) servo system. Firstly, an improved Particle Swarm Optimization algorithm is introduced. Secondly, the way of finding PID coefficient will be studied by using this algorithm. Finally, the mathematical model of the servo system speed control is built by MATLAB/Simulink.
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