{"title":"Direct model predictive current control of quasi-Z-source inverters","authors":"A. Ayad, P. Karamanakos, R. Kennel","doi":"10.1109/PRECEDE.2015.7395585","DOIUrl":null,"url":null,"abstract":"This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRECEDE.2015.7395585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.