{"title":"神经网络控制降压变换器的计算机仿真","authors":"F. Maddaleno","doi":"10.1109/CIPE.1994.396744","DOIUrl":null,"url":null,"abstract":"This work presents the first results obtained by the simulation of a neural network (NN) controlling a DC to DC buck converter. An approach has been chosen in which the NN observes the input disturbances, the state variables and controls the output voltage. Input voltage and output current have been considered as input disturbances, and the network has been trained on typical signals, and then tested on another set of combined disturbances. The simulation has been carried out using MATLAB.<<ETX>>","PeriodicalId":123138,"journal":{"name":"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Computer simulation of a neural network controlled buck converter\",\"authors\":\"F. Maddaleno\",\"doi\":\"10.1109/CIPE.1994.396744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents the first results obtained by the simulation of a neural network (NN) controlling a DC to DC buck converter. An approach has been chosen in which the NN observes the input disturbances, the state variables and controls the output voltage. Input voltage and output current have been considered as input disturbances, and the network has been trained on typical signals, and then tested on another set of combined disturbances. The simulation has been carried out using MATLAB.<<ETX>>\",\"PeriodicalId\":123138,\"journal\":{\"name\":\"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIPE.1994.396744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPE.1994.396744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computer simulation of a neural network controlled buck converter
This work presents the first results obtained by the simulation of a neural network (NN) controlling a DC to DC buck converter. An approach has been chosen in which the NN observes the input disturbances, the state variables and controls the output voltage. Input voltage and output current have been considered as input disturbances, and the network has been trained on typical signals, and then tested on another set of combined disturbances. The simulation has been carried out using MATLAB.<>
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