E. Garayalde, I. Aizpuru, U. Iraola, Iván Sanz, C. Bernal, E. Oyarbide
{"title":"有限控制组MPC与连续控制组MPC在储能中同步降压变换器控制的性能比较","authors":"E. Garayalde, I. Aizpuru, U. Iraola, Iván Sanz, C. Bernal, E. Oyarbide","doi":"10.1109/ICCEP.2019.8890127","DOIUrl":null,"url":null,"abstract":"Model Predictive Control has been widely used in the las decade for the control of AC converters and drives. However, it was not so used for DC-DC conversion. In this sense, the increasing use of batteries in all kinds of applications has generated greater interest in applying this modern control technique to DC-DC converters. In this paper, the system has been evaluated under two different Model Predictive Control strategies. In Finite Control Set Model Predictive Control the switching states are directly selected and applied, while in Continuous Control Set Model Predictive Control an additional modulation stage is needed to do that job. The particularities of each algorithm have been studied and analyzed. Simulation results are included to display the steady state and dynamic response, and also to show the main differences between the two algorithms. Experimental results are included to validate the previously simulated comparative analysis.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Finite Control Set MPC vs Continuous Control Set MPC Performance Comparison for Synchronous Buck Converter Control in Energy Storage Application\",\"authors\":\"E. Garayalde, I. Aizpuru, U. Iraola, Iván Sanz, C. Bernal, E. Oyarbide\",\"doi\":\"10.1109/ICCEP.2019.8890127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Model Predictive Control has been widely used in the las decade for the control of AC converters and drives. However, it was not so used for DC-DC conversion. In this sense, the increasing use of batteries in all kinds of applications has generated greater interest in applying this modern control technique to DC-DC converters. In this paper, the system has been evaluated under two different Model Predictive Control strategies. In Finite Control Set Model Predictive Control the switching states are directly selected and applied, while in Continuous Control Set Model Predictive Control an additional modulation stage is needed to do that job. The particularities of each algorithm have been studied and analyzed. Simulation results are included to display the steady state and dynamic response, and also to show the main differences between the two algorithms. Experimental results are included to validate the previously simulated comparative analysis.\",\"PeriodicalId\":277718,\"journal\":{\"name\":\"2019 International Conference on Clean Electrical Power (ICCEP)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Clean Electrical Power (ICCEP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEP.2019.8890127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Clean Electrical Power (ICCEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEP.2019.8890127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finite Control Set MPC vs Continuous Control Set MPC Performance Comparison for Synchronous Buck Converter Control in Energy Storage Application
Model Predictive Control has been widely used in the las decade for the control of AC converters and drives. However, it was not so used for DC-DC conversion. In this sense, the increasing use of batteries in all kinds of applications has generated greater interest in applying this modern control technique to DC-DC converters. In this paper, the system has been evaluated under two different Model Predictive Control strategies. In Finite Control Set Model Predictive Control the switching states are directly selected and applied, while in Continuous Control Set Model Predictive Control an additional modulation stage is needed to do that job. The particularities of each algorithm have been studied and analyzed. Simulation results are included to display the steady state and dynamic response, and also to show the main differences between the two algorithms. Experimental results are included to validate the previously simulated comparative analysis.