A. Ngotakun, K-L. Areerak, Kongpan Areerak, A. Srikaew
{"title":"Control of series active power filter using fuzzy logic controller","authors":"A. Ngotakun, K-L. Areerak, Kongpan Areerak, A. Srikaew","doi":"10.1109/ECTICON.2012.6254124","DOIUrl":null,"url":null,"abstract":"This paper presents the application of fuzzy logic controller for series active power filter to control the compensating voltage. The instantaneous power theory is used to calculate the reference voltages for harmonic voltage mitigation. The control strategy and the concept of fuzzy logic controller are described in the paper. The Mamdani max-min and the mean of maximum approach are used for the fuzzy inference and the defuzzification method, respectively. The simulation results show that the fuzzy logic controller can control the compensating voltages to achieve the %THD of the source voltages at the point of common coupling under an acceptable range following on the IEEE Std. 519-1992.","PeriodicalId":6319,"journal":{"name":"2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology","volume":"10 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTICON.2012.6254124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents the application of fuzzy logic controller for series active power filter to control the compensating voltage. The instantaneous power theory is used to calculate the reference voltages for harmonic voltage mitigation. The control strategy and the concept of fuzzy logic controller are described in the paper. The Mamdani max-min and the mean of maximum approach are used for the fuzzy inference and the defuzzification method, respectively. The simulation results show that the fuzzy logic controller can control the compensating voltages to achieve the %THD of the source voltages at the point of common coupling under an acceptable range following on the IEEE Std. 519-1992.