Jens Werner, Alexandra Burger, L. Nolle, Karsten Schubert
{"title":"On a Self-Adaptive Step-Down Converter Architecture for On-line EMI Reduction","authors":"Jens Werner, Alexandra Burger, L. Nolle, Karsten Schubert","doi":"10.1109/EMCEUROPE48519.2020.9245676","DOIUrl":null,"url":null,"abstract":"An experimental DC-DC buck converter architecture is presented that allows on-line optimisation of conducted emissions. It is based on a micro-controller allowing a very flexible implementation of the voltage controller itself and simultaneously to run an embedded optimisation algorithm in order to find best parameter sets for spread spectrum pulse width modulation methods. In addition to minimising EMI noise, further quality targets, e.g. load or line regulation can also be optimised. The embedded design makes it attractive for modern Artificial Intelligence (AI) strategies which need a huge number of parameter evaluations.","PeriodicalId":332251,"journal":{"name":"2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMCEUROPE48519.2020.9245676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An experimental DC-DC buck converter architecture is presented that allows on-line optimisation of conducted emissions. It is based on a micro-controller allowing a very flexible implementation of the voltage controller itself and simultaneously to run an embedded optimisation algorithm in order to find best parameter sets for spread spectrum pulse width modulation methods. In addition to minimising EMI noise, further quality targets, e.g. load or line regulation can also be optimised. The embedded design makes it attractive for modern Artificial Intelligence (AI) strategies which need a huge number of parameter evaluations.