Direct Model Predictive Current Control Strategy of Quasi-Z-Source Inverters
Direct Model Predictive Current Control Strategy of Quasi-Z-Source Inverters
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DOI：
10.1109/tpel.2016.2610459
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发表时间：
2017-07-01
影响因子：
6.7
通讯作者：
Kennel, Ralph
中科院分区：
文献类型：
--
作者：
Ayad, Ayman;Karamanakos, Petros;Kennel, Ralph
提出了一种准Z源逆变器的直接模型预测电流控制策略。一个离散时间模型的推导，准确地捕捉转换器的所有操作模式。qZSI的两端基于直流侧的电感电流和电容电压以及交流侧的输出电流同时控制。为了提高转换器的闭环性能，实现了长预测时域。然而，由于计算能力需求的显著增加，潜在的优化问题可能变得在计算上难以处理，这又将阻止控制策略的真实的时间实现。为了克服这一点，并以计算效率高的方式解决问题，分支定界策略与移动阻塞方案一起使用沿着。仿真和实验结果验证了所提出的控制策略的有效性。
This paper presents a direct model predictive current control (MPC) strategy for quasi-Z-source inverters (qZSIs). A discrete-time model is derived that accurately captures all operating modes of the converter. Both sides of the qZSI are controlled simultaneously based on the inductor current and capacitor voltage on the dc side as well as the output current on the ac side. To improve the closed-loop performance of the converter, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the substantial increase in the computational power demands, which in turn would prevent the implementation of the control strategy in real time. To overcome this and to solve the problem in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation and experimental results are provided to verify the effectiveness of the presented control strategy.