{"title":"神经模糊控制感应发电机系统","authors":"S. Sabreen, M. Malleswaran","doi":"10.1109/WIRELESSVITAE.2011.5940873","DOIUrl":null,"url":null,"abstract":"A Recurrent Functional-Link (FL) based Fuzzy Neural Network (FNN) controller with is proposed in this work to control a three phase Induction Generator (IG) system for stand-alone power application. The ac/dc power converter and a dc/ac power inverter are developed to convert the electric power generated by a three-phase IG from variable frequency and variable voltage to constant frequency and constant voltage, respectively. Moreover, two online-trained recurrent FL-based FNNs are introduced as the regulating controllers for both the dc-link voltage of the ac/dc power converter and the ac line voltage of the dc/ac power inverter. Finally, some simulation results are provided to demonstrate the effectiveness of the proposed recurrent FL-based FNN-controlled Induction Generator system.","PeriodicalId":68078,"journal":{"name":"无线互联科技","volume":"39 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neuro-fuzzy controlled Induction Generator system\",\"authors\":\"S. Sabreen, M. Malleswaran\",\"doi\":\"10.1109/WIRELESSVITAE.2011.5940873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Recurrent Functional-Link (FL) based Fuzzy Neural Network (FNN) controller with is proposed in this work to control a three phase Induction Generator (IG) system for stand-alone power application. The ac/dc power converter and a dc/ac power inverter are developed to convert the electric power generated by a three-phase IG from variable frequency and variable voltage to constant frequency and constant voltage, respectively. Moreover, two online-trained recurrent FL-based FNNs are introduced as the regulating controllers for both the dc-link voltage of the ac/dc power converter and the ac line voltage of the dc/ac power inverter. Finally, some simulation results are provided to demonstrate the effectiveness of the proposed recurrent FL-based FNN-controlled Induction Generator system.\",\"PeriodicalId\":68078,\"journal\":{\"name\":\"无线互联科技\",\"volume\":\"39 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"无线互联科技\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/WIRELESSVITAE.2011.5940873\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"无线互联科技","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/WIRELESSVITAE.2011.5940873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Recurrent Functional-Link (FL) based Fuzzy Neural Network (FNN) controller with is proposed in this work to control a three phase Induction Generator (IG) system for stand-alone power application. The ac/dc power converter and a dc/ac power inverter are developed to convert the electric power generated by a three-phase IG from variable frequency and variable voltage to constant frequency and constant voltage, respectively. Moreover, two online-trained recurrent FL-based FNNs are introduced as the regulating controllers for both the dc-link voltage of the ac/dc power converter and the ac line voltage of the dc/ac power inverter. Finally, some simulation results are provided to demonstrate the effectiveness of the proposed recurrent FL-based FNN-controlled Induction Generator system.
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