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Modulated model predictive control for a 7-level cascaded h-bridge back-to-back converter

机译:7级级联H桥背靠背转换器的调制模型预测控制

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摘要

Multilevel Converters are known to have many advantages for electricity network applications. In particular Cascaded H-Bridge Converters are attractive because of their inherent modularity and scalability. Predictive control for power converters is advantageous as a result of its applicability to discrete system and fast response. In this paper a novel control technique, named Modulated Model Predictive Control, is introduced with the aim to increase the performance of Model Predictive Control. The proposed controller address a modulation scheme as part of the minimization process. The proposed control technique is described in detail, validated through simulation and experimental testing and compared with Dead-Beat and traditional Model Predictive Control. The results show the increased performance of the Modulated Model Predictive Control with respect to the classic Finite Control Set Model Predictive Control, in terms ofcurrent waveform THD. Moreover the proposed controller allows a multi-objective control, with respect to Dead-Beat Control that does not present this capability.
机译:众所周知,多电平转换器在电网应用中具有许多优势。特别是级联H桥转换器因其固有的模块化和可扩展性而具有吸引力。由于功率转换器的预测控制适用于离散系统和快速响应,因此具有优势。在本文中,为了提高模型预测控制的性能,引入了一种新颖的控制技术,称为调制模型预测控制。所提出的控制器解决了作为最小化过程的一部分的调制方案。详细介绍了所提出的控制技术,并通过仿真和实验测试对其进行了验证,并与Dead-Beat和传统的模型预测控制进行了比较。结果显示,就电流波形THD而言,相对于经典的有限控制集模型预测控制,调制模型预测控制的性能有所提高。此外,相对于不具有这种能力的无人驾驶控制,所提出的控制器允许进行多目标控制。

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