{"title":"用模糊逻辑反馈线性化策略控制三单元逆变器以降低输出电流谐波含量","authors":"Hamida Mohamed Lamine, Denoun Hakim, Fekik Arezki, Kais dyhia, Benamrouche Nacereddine, Babkrani Youssef","doi":"10.1109/ICCSRE.2019.8807768","DOIUrl":null,"url":null,"abstract":"The series multicellular converter is among the solutions that is currently being used in many applications, e.g.: renewable energy applications, industrial applications and active filters. Because of its unique ability to generate multiple voltage levels, this converter minimizes voltage constraints in all cells. This results in a lower loss of commutations and high switching frequency, which in turn results in a better harmonic content. However, it is necessary to choose a good control to reach all these advantages. To ensure optimum operation of this converter; the capacitor’s voltages must be maintained at their operating values. This paper proposes a fuzzy logic -nonlinear feedback linearization control for a three-cell inverter. This control maintains the capacitors voltages and the output current at their optimum. Simulations carried out using Matlab / Simulink software verify the robustness of the control law during load fluctuation. To highlight its good performances, the proposed control is compared to the natural-balanced control based on PWM (pulse width modulation).","PeriodicalId":360150,"journal":{"name":"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Control of Three-Cell Inverter with a Fuzzy Logic-Feedback Linearization Strategy to Reduce the Harmonic Content of the Output Current\",\"authors\":\"Hamida Mohamed Lamine, Denoun Hakim, Fekik Arezki, Kais dyhia, Benamrouche Nacereddine, Babkrani Youssef\",\"doi\":\"10.1109/ICCSRE.2019.8807768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The series multicellular converter is among the solutions that is currently being used in many applications, e.g.: renewable energy applications, industrial applications and active filters. Because of its unique ability to generate multiple voltage levels, this converter minimizes voltage constraints in all cells. This results in a lower loss of commutations and high switching frequency, which in turn results in a better harmonic content. However, it is necessary to choose a good control to reach all these advantages. To ensure optimum operation of this converter; the capacitor’s voltages must be maintained at their operating values. This paper proposes a fuzzy logic -nonlinear feedback linearization control for a three-cell inverter. This control maintains the capacitors voltages and the output current at their optimum. Simulations carried out using Matlab / Simulink software verify the robustness of the control law during load fluctuation. To highlight its good performances, the proposed control is compared to the natural-balanced control based on PWM (pulse width modulation).\",\"PeriodicalId\":360150,\"journal\":{\"name\":\"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference of Computer Science and Renewable Energies (ICCSRE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSRE.2019.8807768\",\"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 of Computer Science and Renewable Energies (ICCSRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSRE.2019.8807768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control of Three-Cell Inverter with a Fuzzy Logic-Feedback Linearization Strategy to Reduce the Harmonic Content of the Output Current
The series multicellular converter is among the solutions that is currently being used in many applications, e.g.: renewable energy applications, industrial applications and active filters. Because of its unique ability to generate multiple voltage levels, this converter minimizes voltage constraints in all cells. This results in a lower loss of commutations and high switching frequency, which in turn results in a better harmonic content. However, it is necessary to choose a good control to reach all these advantages. To ensure optimum operation of this converter; the capacitor’s voltages must be maintained at their operating values. This paper proposes a fuzzy logic -nonlinear feedback linearization control for a three-cell inverter. This control maintains the capacitors voltages and the output current at their optimum. Simulations carried out using Matlab / Simulink software verify the robustness of the control law during load fluctuation. To highlight its good performances, the proposed control is compared to the natural-balanced control based on PWM (pulse width modulation).