{"title":"GA-BASED FUZZY LOGIC CONTROLLER WITH BOOSTER TYPE DC-DC CONVERTER","authors":"Ömür Akyazı","doi":"10.12739/NWSA.2018.13.1.2A0134","DOIUrl":null,"url":null,"abstract":"In this study, a booster–type DC-DC converter is designed by Matlab/Simulink Environment and an output voltage control has been analyzed for different load conditions. The designed DC-DC converter is controlled for different scenarios such as variable input-constant output voltage and constant input-variable output voltage references. The converter controller performance is observed with using classical Proportional+Integral (PI) controller and Fuzzy Logic Controller (FLC). On the other hand, the controller parameters are determined by employing Genetic Algorithm (GA) according to Integral of the Time weighted Absolute Error (ITAE) to improve the controller performance. Thus, more efficient and intelligent controllers are obtained for the DC-DC converter system. The system simulation is realized by the Matlab/Simulink and results are compared with each other.","PeriodicalId":259758,"journal":{"name":"Technological Applied Sciences","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12739/NWSA.2018.13.1.2A0134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this study, a booster–type DC-DC converter is designed by Matlab/Simulink Environment and an output voltage control has been analyzed for different load conditions. The designed DC-DC converter is controlled for different scenarios such as variable input-constant output voltage and constant input-variable output voltage references. The converter controller performance is observed with using classical Proportional+Integral (PI) controller and Fuzzy Logic Controller (FLC). On the other hand, the controller parameters are determined by employing Genetic Algorithm (GA) according to Integral of the Time weighted Absolute Error (ITAE) to improve the controller performance. Thus, more efficient and intelligent controllers are obtained for the DC-DC converter system. The system simulation is realized by the Matlab/Simulink and results are compared with each other.
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