{"title":"基于SIMULINK和遗传算法的电机仿真与优化","authors":"Long Chen, Guoli Li, Xing Qi, Qunjing Wang","doi":"10.1109/ICIEA.2017.8282955","DOIUrl":null,"url":null,"abstract":"The setting of PID parameters is an extremely important problem in the field of automatic control. In this paper, a genetic algorithm is illustrated using MATLAB and SIMULINK to improve the dynamic performance of vector control induction motor. Combining SIMULINK with genetic algorithm shows the correctness and effectiveness of the model of SIMULINK system simulation, and verifies that the performance of the system vector parameters of genetic algorithm optimization of the control system is better than that of the conventional controller.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simulation and optimization of electric machine based on SIMULINK and genetic algorithm\",\"authors\":\"Long Chen, Guoli Li, Xing Qi, Qunjing Wang\",\"doi\":\"10.1109/ICIEA.2017.8282955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The setting of PID parameters is an extremely important problem in the field of automatic control. In this paper, a genetic algorithm is illustrated using MATLAB and SIMULINK to improve the dynamic performance of vector control induction motor. Combining SIMULINK with genetic algorithm shows the correctness and effectiveness of the model of SIMULINK system simulation, and verifies that the performance of the system vector parameters of genetic algorithm optimization of the control system is better than that of the conventional controller.\",\"PeriodicalId\":443463,\"journal\":{\"name\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2017.8282955\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2017.8282955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation and optimization of electric machine based on SIMULINK and genetic algorithm
The setting of PID parameters is an extremely important problem in the field of automatic control. In this paper, a genetic algorithm is illustrated using MATLAB and SIMULINK to improve the dynamic performance of vector control induction motor. Combining SIMULINK with genetic algorithm shows the correctness and effectiveness of the model of SIMULINK system simulation, and verifies that the performance of the system vector parameters of genetic algorithm optimization of the control system is better than that of the conventional controller.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
