{"title":"准z源逆变器(qZSI) MPC算法的开发","authors":"Abualkasim Bakeer, M. Ismeil, A. Kouzou, M. Orabi","doi":"10.1109/CEIT.2015.7233135","DOIUrl":null,"url":null,"abstract":"This paper presents an improvement algorithm of Model Predictive Control (MPC) for the quasi Z-Source Inverter (qZSI) with a standalone system. The improved algorithm decreases number of the desired sensors from five into three, where it just needs two current sensors for measuring the AC currents, and another voltage sensor for capacitor voltage detection. The inductor current will be estimated according to the previous optimized state and the capacitor voltage value during this state. Moreover, the developed algorithm decreases the number of the calculations for the inductor current prediction. Thus, the total cost of the control system decreases; furthermore, the practical implementation for the algorithm is improved where short running time. The developed algorithm will be investigated with the theoretical analysis in addition to the simulation validation based on MATLAB/SIMULINK as environmental software.","PeriodicalId":281793,"journal":{"name":"2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Development of MPC algorithm for quasi Z-source inverter (qZSI)\",\"authors\":\"Abualkasim Bakeer, M. Ismeil, A. Kouzou, M. Orabi\",\"doi\":\"10.1109/CEIT.2015.7233135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an improvement algorithm of Model Predictive Control (MPC) for the quasi Z-Source Inverter (qZSI) with a standalone system. The improved algorithm decreases number of the desired sensors from five into three, where it just needs two current sensors for measuring the AC currents, and another voltage sensor for capacitor voltage detection. The inductor current will be estimated according to the previous optimized state and the capacitor voltage value during this state. Moreover, the developed algorithm decreases the number of the calculations for the inductor current prediction. Thus, the total cost of the control system decreases; furthermore, the practical implementation for the algorithm is improved where short running time. The developed algorithm will be investigated with the theoretical analysis in addition to the simulation validation based on MATLAB/SIMULINK as environmental software.\",\"PeriodicalId\":281793,\"journal\":{\"name\":\"2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEIT.2015.7233135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEIT.2015.7233135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of MPC algorithm for quasi Z-source inverter (qZSI)
This paper presents an improvement algorithm of Model Predictive Control (MPC) for the quasi Z-Source Inverter (qZSI) with a standalone system. The improved algorithm decreases number of the desired sensors from five into three, where it just needs two current sensors for measuring the AC currents, and another voltage sensor for capacitor voltage detection. The inductor current will be estimated according to the previous optimized state and the capacitor voltage value during this state. Moreover, the developed algorithm decreases the number of the calculations for the inductor current prediction. Thus, the total cost of the control system decreases; furthermore, the practical implementation for the algorithm is improved where short running time. The developed algorithm will be investigated with the theoretical analysis in addition to the simulation validation based on MATLAB/SIMULINK as environmental software.