{"title":"Genetic algorithm based adaptive fuzzy terminal synergetic DC-DC converter control","authors":"Y. Nettari, M. N. Harmas","doi":"10.1109/CEIT.2015.7233108","DOIUrl":null,"url":null,"abstract":"This paper presents a novel terminal synergetic control for DC-DC buck converters. Since buck converters have high nonlinearity and uncertainty, an indirect adaptive control is developed based on recently developed synergetic control methodology. Fuzzy systems are used in an adaptive scheme to approximate the system using a nonlinear model while synergetic control guarantees robustness and the use of a chatter free continuous control law which makes the controller easy to implement. In addition the controller parameters are optimized using GA approach. Simulation of severe operating conditions of a power system is conducted to validate the effectiveness of the proposed approach while stability is guaranteed via Lyapunov synthesis.","PeriodicalId":281793,"journal":{"name":"2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEIT.2015.7233108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents a novel terminal synergetic control for DC-DC buck converters. Since buck converters have high nonlinearity and uncertainty, an indirect adaptive control is developed based on recently developed synergetic control methodology. Fuzzy systems are used in an adaptive scheme to approximate the system using a nonlinear model while synergetic control guarantees robustness and the use of a chatter free continuous control law which makes the controller easy to implement. In addition the controller parameters are optimized using GA approach. Simulation of severe operating conditions of a power system is conducted to validate the effectiveness of the proposed approach while stability is guaranteed via Lyapunov synthesis.
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