谐波
稳健性(进化)
控制理论(社会学)
总谐波失真
脉冲宽度调制
支持向量机
空间矢量调制
模型预测控制
计算机科学
电压
电子工程
工程类
人工智能
控制(管理)
电气工程
化学
基因
生物化学
作者
Lei Han,Yongchang Zhang,Xing Wang,Haitao Yang
标识
DOI:10.1109/jestpe.2023.3334308
摘要
Model-based predictive current control using space vector modulation (SVM-MBPCC) is widely used in pulsewidth-modulated (PWM) rectifiers due to the advantages of quick dynamic response and low current harmonics when the system parameters are accurately known. However, it presents increased current harmonics and power tracking errors when there are parameter mismatches. To improve the robustness against parameter variations, model-free predictive current control based on SVM (SVM-MFPCC) is an effective solution. However, its current harmonics are still relatively high due to the use of fixed voltage vector sequences in the whole working point. This article proposes an improved MFPCC based on hybrid SVM (HSVM-MFPCC), which obtains minimal current harmonics without increasing switching frequency while inheriting the strong robustness against parameter variations of conventional MFPCC. The simulation and experimental results show that the current total harmonic distortion (THD) of the proposed method can be reduced above 26% than conventional SVM-MFPCC when the modulation index is above 0.92.
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