E. Purwanto, Endra Wahjono, I. Ferdiansyah, D. S. Yanaratri, Lucky Pradigta Setiya Raharja, Rachma Prilian Eviningsih, Gamar Basuki
{"title":"基于矢量控制方法的感应电机速度控制遗传算法的实现","authors":"E. Purwanto, Endra Wahjono, I. Ferdiansyah, D. S. Yanaratri, Lucky Pradigta Setiya Raharja, Rachma Prilian Eviningsih, Gamar Basuki","doi":"10.1109/ISRITI48646.2019.9034674","DOIUrl":null,"url":null,"abstract":"Genetic algorithms are one method used for the optimization technique, in this paper were developed the application of GA methods to solve equations the model of induction motor (IM) by dq model (Vector Control). On this system the stator currents and rotor currents in dq axis set as the variables are determined through a process of evolution (GA) and take the price of genetic fitness of torque as objective function for each generation. On this genetic method used two kinds of encoding its chromosome, which is in binary and floating with some of the crossover, mutation and selection to obtain good results. Here will be sought after combination of each genetic operator to get the best results. The result of this method are found best result for the all.","PeriodicalId":367363,"journal":{"name":"2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"418 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Implementation of Genetic Algorithm for Induction Motor Speed Control Based on Vector Control Method\",\"authors\":\"E. Purwanto, Endra Wahjono, I. Ferdiansyah, D. S. Yanaratri, Lucky Pradigta Setiya Raharja, Rachma Prilian Eviningsih, Gamar Basuki\",\"doi\":\"10.1109/ISRITI48646.2019.9034674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Genetic algorithms are one method used for the optimization technique, in this paper were developed the application of GA methods to solve equations the model of induction motor (IM) by dq model (Vector Control). On this system the stator currents and rotor currents in dq axis set as the variables are determined through a process of evolution (GA) and take the price of genetic fitness of torque as objective function for each generation. On this genetic method used two kinds of encoding its chromosome, which is in binary and floating with some of the crossover, mutation and selection to obtain good results. Here will be sought after combination of each genetic operator to get the best results. The result of this method are found best result for the all.\",\"PeriodicalId\":367363,\"journal\":{\"name\":\"2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)\",\"volume\":\"418 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISRITI48646.2019.9034674\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISRITI48646.2019.9034674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of Genetic Algorithm for Induction Motor Speed Control Based on Vector Control Method
Genetic algorithms are one method used for the optimization technique, in this paper were developed the application of GA methods to solve equations the model of induction motor (IM) by dq model (Vector Control). On this system the stator currents and rotor currents in dq axis set as the variables are determined through a process of evolution (GA) and take the price of genetic fitness of torque as objective function for each generation. On this genetic method used two kinds of encoding its chromosome, which is in binary and floating with some of the crossover, mutation and selection to obtain good results. Here will be sought after combination of each genetic operator to get the best results. The result of this method are found best result for the all.