Fully FPGA based performance-enhanced DMPC for grid-tied AFEs with multiple predictions
Fully FPGA based performance-enhanced DMPC for grid-tied AFEs with multiple predictions
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DOI：
10.1109/iecon.2015.7392277
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发表时间：
2015-11
期刊：
影响因子：
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通讯作者：
Zhenbin Zhang;Zhe Chen;Fengxiang Wang;Chun Wu;R. Kennel
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文献类型：
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作者：
Zhenbin Zhang;Zhe Chen;Fengxiang Wang;Chun Wu;R. Kennel
直接模型预测控制（DMPC）是一种非常有吸引力的电力电子和传动控制方法，具有概念简单、动态特性好、灵活性强等特点。然而，相对较大的波动的控制变量和沉重的计算工作量被认为是两个缺点。为了科普这些，这项工作提出了一个性能增强的DMPC的概念与多预测和较低的计算工作。该方案的新奇之处在于：i）通过将每个采样间隔划分为3个预测周期，与具有相同采样周期的经典DMPC方案相比，提高了控制精度的分辨率; ii）采用无差拍概念代替穷举枚举概念，以协同方式找到等效最优向量，因此需要更低的计算量。作为一个案例的研究，它是在这里验证的网格绑两级主动前端（AFE），并实现使用一个完全基于FPGA的解决方案。与经典的DMPC方案相比，在相同的采样频率下，获得了更好的电流/功率质量。实验结果表明了该方案的有效性。
Direct Model Predictive Control (DMPC) is an attractive control method for power electronics and drives, characterized by straightforward concept, nice dynamics and great flexibility. However, relatively big ripples of the control variables and heavy computational efforts are regarded as two of the shortcomings. To cope with these, this work proposes a performance-enhanced DMPC concept with multi-predictions and lower computational efforts. The novelty of the proposed scheme is two-folds: i) By dividing each sampling interval into 3 prediction periods, the resolution of the control accuracy is therefore improved compared with the classical DMPC schemes with the same sampling period; ii) Instead of using the exhausting enumeration concept, a deadbeat notion is in-cooperated to find the equivalently optimal vectors and much lower computational efforts are therefore required. As a case of study it is here verified on a grid-tied two level Active-Front-End (AFE) and is realized using an entirely FPGA based solution. Compared with the classical DMPC schemes, better current/power qualities are achieved with the same sampling frequency. The effectiveness of the proposed scheme is emphasized with experimental results.