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Finite-control-set model predictive current control for PMSM using grey prediction

机译:基于灰色预测的PMSM有限控制模型预测电流控制

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This paper proposes a finite control set model predictive current control (FCS-MPCC) with grey prediction for surface mounted PMSM drives. The basic FCS-MPCC is combined with grey prediction to improve the dynamic performance current control. Grey system takes into account both certain and uncertain information in real system, and use the rolling optimal grey sequence to predict the control current for cost function. The performance is demonstrated in both simulation and experiment. The results illustrate that FCS-MPCC with grey prediction expresses a good current response under the load disturbance and good performance under different parameter variations. Meanwhile the steady-state performance of current can be assured.
机译:本文针对表面贴装式PMSM驱动器提出了具有灰色预测的有限控制集模型预测电流控制(FCS-MPCC)。基本的FCS-MPCC与灰度预测相结合,以改善动态性能电流控制。灰色系统同时考虑了实际系统中的确定性信息和不确定性信息,并使用滚动优化的灰色序列来预测成本函数的控制电流。仿真和实验均表明了该性能。结果表明,具有灰色预测的FCS-MPCC在负载扰动下表现出良好的电流响应,在不同参数变化下表现出良好的性能。同时可以保证电流的稳态性能。

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