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Unified Algorithm for Multilevel Inverters

机译：多电平逆变器统一算法

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摘要

Multilevel inverters (MLIs) are broadly classified into symmetrical and asymmetrical types based on the DC-link voltage distribution. Asymmetrical MLIs are further classified into binary, quasi-linear and ternary hybrid inverters based on the geometric progression of the DC-link voltages. This study focuses on a new type of random asymmetrical MLIs (RASMLIs) where the DC links voltages are random and randomness is not pertained to any specific geometric progression. This study proposes an optimised vector search algorithm which is unified for symmetrical, asymmetrical and RASMLI. The concept of gradient-intercept equation and its corresponding Gs is the basis of the algorithm for identifying the proximal vectors. The algorithm determines the maximum DC bus utilisation at which the inverter can effectively produce quality output with minimal total harmonic distortion. As the redundant vectors reduce due to randomness the algorithm also aims at reducing the common-mode voltage with minimum switch transition. To validate the proposed algorithm, a T-type converter with H-bridge modules cascaded along each phase is considered. An experimental prototype of the same was developed and random DC voltages were fed using isolated DC supplies with induction motor as load. Nexys-4 field programmable gate array was used to implement the algorithm.
机译：根据直流母线电压分布，多电平逆变器（MLI）大致分为对称型和非对称型。根据直流母线电压的几何级数，非对称MLI进一步分为二进制，准线性和三元混合逆变器。这项研究的重点是新型的随机非对称MLI（RASMLI），其中直流母线电压是随机的，并且随机性与任何特定的几何级数都不相关。本研究提出了一种针对对称，非对称和RASMLI统一的优化矢量搜索算法。梯度截距方程的概念及其对应的Gs是识别近端向量的算法的基础。该算法确定了最大的直流母线利用率，在此频率下逆变器可以有效地产生高质量的输出，而总谐波失真最小。由于冗余向量由于随机性而降低，因此该算法还旨在以最小的开关跳变来降低共模电压。为了验证所提出的算法，考虑了具有沿每个相位级联的H桥模块的T型转换器。开发了相同的实验原型，并使用带有感应电动机作为负载的隔离式直流电源为随机直流电压供电。 Nexys-4现场可编程门阵列用于实现该算法。

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