{"title":"基于神经网络技术的三相变流器控制器研究","authors":"Wang Baocheng, Wu Wei-yang, Xiaofeng Sun, Wei Kun","doi":"10.1109/PEDS.2003.1283211","DOIUrl":null,"url":null,"abstract":"A back propagation neural network is used in this paper to control the three phase converter input current with state vector PWM (SVPWM) performance. The paper presents some characters of the current modulator. To improve the performance in response of current, robustness and insensitivity to system parameters, a online training neural networks proportional integrate modulator is used. Simulation and experimental results are given out.","PeriodicalId":106054,"journal":{"name":"The Fifth International Conference on Power Electronics and Drive Systems, 2003. PEDS 2003.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on three-phase converter controller based on neural network technique\",\"authors\":\"Wang Baocheng, Wu Wei-yang, Xiaofeng Sun, Wei Kun\",\"doi\":\"10.1109/PEDS.2003.1283211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A back propagation neural network is used in this paper to control the three phase converter input current with state vector PWM (SVPWM) performance. The paper presents some characters of the current modulator. To improve the performance in response of current, robustness and insensitivity to system parameters, a online training neural networks proportional integrate modulator is used. Simulation and experimental results are given out.\",\"PeriodicalId\":106054,\"journal\":{\"name\":\"The Fifth International Conference on Power Electronics and Drive Systems, 2003. PEDS 2003.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Fifth International Conference on Power Electronics and Drive Systems, 2003. PEDS 2003.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEDS.2003.1283211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Fifth International Conference on Power Electronics and Drive Systems, 2003. PEDS 2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDS.2003.1283211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on three-phase converter controller based on neural network technique
A back propagation neural network is used in this paper to control the three phase converter input current with state vector PWM (SVPWM) performance. The paper presents some characters of the current modulator. To improve the performance in response of current, robustness and insensitivity to system parameters, a online training neural networks proportional integrate modulator is used. Simulation and experimental results are given out.