Osama Y. Mahmood AL-Rawi, N. M. Noaman, Mohammed Majed Mohammed AlKhalidy
{"title":"Switching angle optimization based Genetic algorithms for harmonic reduction in three-phase PWM inverters","authors":"Osama Y. Mahmood AL-Rawi, N. M. Noaman, Mohammed Majed Mohammed AlKhalidy","doi":"10.1109/SM2ACD.2010.5672311","DOIUrl":null,"url":null,"abstract":"A simple but powerful design method based on real-coded Genetic algorithms (GAs) to solve the minimization of the Total Harmonic Distortion (THD) criterion is obtained. GAs provides a much simpler approach to off-line tuning of Pulse width Modulation (PWM) switching angles than the rather complicated non-genetic optimization algorithms. Genetic algorithms are exploratory search and optimization procedures that were devised on the principles of natural evolution and population genetics.","PeriodicalId":442381,"journal":{"name":"2010 XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SM2ACD.2010.5672311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A simple but powerful design method based on real-coded Genetic algorithms (GAs) to solve the minimization of the Total Harmonic Distortion (THD) criterion is obtained. GAs provides a much simpler approach to off-line tuning of Pulse width Modulation (PWM) switching angles than the rather complicated non-genetic optimization algorithms. Genetic algorithms are exploratory search and optimization procedures that were devised on the principles of natural evolution and population genetics.