A Simplified Finite-Control-Set Model-Predictive Control for Power Converters
A Simplified Finite-Control-Set Model-Predictive Control for Power Converters
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DOI：
10.1109/tii.2013.2284558
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发表时间：
2014-05-01
影响因子：
12.3
通讯作者：
Song, Zhanfeng
中科院分区：
文献类型：
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作者：
Xia, Changliang;Liu, Tao;Song, Zhanfeng
模糊控制集模型预测控制（FCS-MPC）计算量大，是其应用的一个障碍。然而，与经典的线性控制算法相比，FCS-MPC需要更短的控制回路周期时间来达到相同的控制性能。为了解决这一矛盾，本文提出了一种有效的方法来简化传统的FCS-MPC。通过等效变换和专门的扇区分配方法，在不影响控制性能的前提下，大大减少了FCS-MPC的计算量。该方法适用于各种电路拓扑结构和多约束的情况。两电平变换器和三电平NPC变换器的实验验证了该方法的良好性能和应用价值。
Finite-control-set model-predictive control (FCS-MPC) requires a large amount of calculation, which is an obstacle for its application. However, compared with the classical linear control algorithm, FCS-MPC requires a shorter control loop cycle time to reach the same control performance. To resolve this contradiction, this paper presents an effective method to simplify the conventional FCS-MPC. With equivalent transformation and specialized sector distribution method, the computation load of FCS-MPC is greatly reduced while the control performance is not affected. The proposed method can be used in various circuit topologies and cases with multiple constraints. Experiments on two-level converter and three-level NPC converter verify the good performance and application value of the proposed method.