{"title":"基于神经网络的PWM逆变器无功补偿器动态辨识与控制","authors":"S. Hosseini, S. H. Tonekaboni","doi":"10.1109/PTC.1999.826700","DOIUrl":null,"url":null,"abstract":"The performance and dynamic characteristic of a solid-state VAr compensator controlled by a neural network is presented and analyzed. Neural network based indirect model reference adaptive control (NN-MRAC) theory is used to design the multioutput nonlinear controller structure. Simulation results of the closed loop control system using a multioutput nonlinear neural network controller demonstrate desirable reactive power compensation and voltage regulation.","PeriodicalId":101688,"journal":{"name":"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic identification and control of PWM inverter VAr compensator using neural network\",\"authors\":\"S. Hosseini, S. H. Tonekaboni\",\"doi\":\"10.1109/PTC.1999.826700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The performance and dynamic characteristic of a solid-state VAr compensator controlled by a neural network is presented and analyzed. Neural network based indirect model reference adaptive control (NN-MRAC) theory is used to design the multioutput nonlinear controller structure. Simulation results of the closed loop control system using a multioutput nonlinear neural network controller demonstrate desirable reactive power compensation and voltage regulation.\",\"PeriodicalId\":101688,\"journal\":{\"name\":\"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PTC.1999.826700\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PTC.1999.826700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic identification and control of PWM inverter VAr compensator using neural network
The performance and dynamic characteristic of a solid-state VAr compensator controlled by a neural network is presented and analyzed. Neural network based indirect model reference adaptive control (NN-MRAC) theory is used to design the multioutput nonlinear controller structure. Simulation results of the closed loop control system using a multioutput nonlinear neural network controller demonstrate desirable reactive power compensation and voltage regulation.
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