{"title":"基于遗传算法的非对称DC-DC串联谐振变换器最优滑模控制","authors":"A. Foghani, S. Barakati, S. H. Moosapour","doi":"10.1109/ICCIAUTOM.2013.6912846","DOIUrl":null,"url":null,"abstract":"Resonant dc-dc converters have been applied to many industrial applications. In order to dc-dc converter operates in fixed frequency and the zero-voltage-switching (ZVS) condition per different loads, using robust control theory has been reported. In this paper, an optimal sliding mode controller for dc-dc series resonant converter is proposed to control the output voltage of converter in presence load varying. Modeling of converter contains three stages: state-space model, transformed model, and averaged model. This model is suitable for designing the sliding-mode controller. To optimize the controller genetic algorithm is employed. Simulation results are shown in order to validate the proposed optimal sliding mode controller.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal sliding mode controller for asymmetrical DC-DC series resonant converter using genetic algorithm\",\"authors\":\"A. Foghani, S. Barakati, S. H. Moosapour\",\"doi\":\"10.1109/ICCIAUTOM.2013.6912846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Resonant dc-dc converters have been applied to many industrial applications. In order to dc-dc converter operates in fixed frequency and the zero-voltage-switching (ZVS) condition per different loads, using robust control theory has been reported. In this paper, an optimal sliding mode controller for dc-dc series resonant converter is proposed to control the output voltage of converter in presence load varying. Modeling of converter contains three stages: state-space model, transformed model, and averaged model. This model is suitable for designing the sliding-mode controller. To optimize the controller genetic algorithm is employed. Simulation results are shown in order to validate the proposed optimal sliding mode controller.\",\"PeriodicalId\":444883,\"journal\":{\"name\":\"The 3rd International Conference on Control, Instrumentation, and Automation\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 3rd International Conference on Control, Instrumentation, and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIAUTOM.2013.6912846\",\"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 3rd International Conference on Control, Instrumentation, and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2013.6912846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal sliding mode controller for asymmetrical DC-DC series resonant converter using genetic algorithm
Resonant dc-dc converters have been applied to many industrial applications. In order to dc-dc converter operates in fixed frequency and the zero-voltage-switching (ZVS) condition per different loads, using robust control theory has been reported. In this paper, an optimal sliding mode controller for dc-dc series resonant converter is proposed to control the output voltage of converter in presence load varying. Modeling of converter contains three stages: state-space model, transformed model, and averaged model. This model is suitable for designing the sliding-mode controller. To optimize the controller genetic algorithm is employed. Simulation results are shown in order to validate the proposed optimal sliding mode controller.
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