Ya-Xiong Wang, D. Xuan, Duck-Hyun Yu, Young‐Bae Kim
{"title":"Buck DC-DC converter design and experimental validation by time delay control","authors":"Ya-Xiong Wang, D. Xuan, Duck-Hyun Yu, Young‐Bae Kim","doi":"10.1109/CACS.2013.6734190","DOIUrl":null,"url":null,"abstract":"This paper presents a novel control approach based on time delay concept for buck DC-DC converter control and implementation. Time delay control is effective and useful for the voltage tracking of the buck DC-DC converter that exhibits inherent state variable variations under disturbance. To prove the voltage tracking performance improvement of the proposed method, a conventional model predictive control (MPC) is used and compared. MATLAB/Simulink models are constructed to simulate the efficiency of the controllers by comparing the system performance criteria under different operating points. Finally, experimental validations are performed and compared on the same platforms and working conditions.","PeriodicalId":186492,"journal":{"name":"2013 CACS International Automatic Control Conference (CACS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 CACS International Automatic Control Conference (CACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACS.2013.6734190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents a novel control approach based on time delay concept for buck DC-DC converter control and implementation. Time delay control is effective and useful for the voltage tracking of the buck DC-DC converter that exhibits inherent state variable variations under disturbance. To prove the voltage tracking performance improvement of the proposed method, a conventional model predictive control (MPC) is used and compared. MATLAB/Simulink models are constructed to simulate the efficiency of the controllers by comparing the system performance criteria under different operating points. Finally, experimental validations are performed and compared on the same platforms and working conditions.