An Improved Multiobjective Model-Predictive Control Method for Active Neutral-Point-Clamped Five-Level Converter

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Open Journal of the Industrial Electronics Society Pub Date : 2024-07-19 DOI:10.1109/OJIES.2024.3431083

Qiguang Ren;Chang Liu;Xiangyang Xing;Rui Zhang;Chenghui Zhang

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引用次数: 0

Abstract

The active neutral-point-clamped five-level converter has drawn much attention in industrial applications. However, common-mode voltage (CMV) suppression, accurate track current, fixed switching frequencies, neutral-point (NP) voltage balance, and flying capacitor (FC) voltage are compulsory in this configuration. Thus, an improved multiobjective model-predictive control (IMMPC) without weighting factors is proposed in this article. First, to suppress CMV, only 61 low-CMV vectors out of 125 vectors were selected. Second, to ensure current tracking performance and reduce computational burden, based on the gh oblique coordinate, three voltage vectors were calculated online in each control period, which can avoid lookup tables. Third, the optimal switching sequence and duty cycles were presented considering the lowest switching numbers and constant switching frequency. A high-quality current was thus obtained, and the NP voltage and the FC voltage were balanced by selecting switching combinations. The IMMPC can be applied to other multilevel converters for current tracking and CMV suppression with a simple adjustment on parameters. Finally, the feasibility and the effectiveness of the proposed method were verified through simulations and experiments.

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有源中性点钳位五级变流器的改进型多目标模型预测控制方法

有源中性点钳位五电平转换器在工业应用中备受关注。然而，在这种配置中，共模电压（CMV）抑制、精确的跟踪电流、固定的开关频率、中性点（NP）电压平衡和飞电容（FC）电压都是必须的。因此，本文提出了一种不含权重因子的改进型多目标模型预测控制（IMMPC）。首先，为了抑制 CMV，在 125 个向量中只选择了 61 个低 CMV 向量。其次，为确保电流跟踪性能并减轻计算负担，基于 gh 斜坐标，在每个控制周期在线计算三个电压矢量，从而避免了查找表。第三，考虑到最低开关次数和恒定开关频率，提出了最佳开关顺序和占空比。这样就获得了高质量的电流，并通过选择开关组合平衡了 NP 电压和 FC 电压。只需简单调整参数，IMMPC 就能应用于其他多电平转换器的电流跟踪和 CMV 抑制。最后，通过仿真和实验验证了所提方法的可行性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

10.80

自引率

2.40%

发文量

审稿时长

12 weeks

期刊介绍： The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments. Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.