采用混合三步换向的新型非连续 PWM 方法降低直接矩阵转换器的共模电压

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Sahel Solemanifard;Cheng-Chin Hu;Tzung-Lin Lee;Mohammadreza Lak
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引用次数: 0

摘要

在直接矩阵转换器(DMC)中,传统的非连续脉宽调制(PWM)具有开关次数少、调制信号计算执行时间短等优点。但是,它存在共模电压(CMV)过高的问题,可能会对基于 DMC 的系统造成损坏。本文提出了一种新型的非连续 PWM(DPWM)方法,不仅能缓解 CMV,还能进一步提高转换效率。在这种方法中,利用两个中等和两个较小的输入线电压,以一种新的方式获得开关序列,从而提高了转换效率。此外,拟议的 DPWM 采用旋转矢量代替零矢量,与传统 DPWM 相比,CMV 降低了 50%。值得注意的是,拟议的 DPWM 在保持低总谐波失真 (THD) 的同时,还具有上述优势。为了验证所提出的 DPWM 方法的有效性,我们进行了模拟和实验。这些测试结果支持了论文中关于降低 CMV、提高效率和低总谐波失真的说法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Discontinuous PWM Method With Hybrid Three-Step Commutation to Reduce Common-Mode Voltage for Direct Matrix Converter
The conventional discontinuous pulsewidth modulation (PWM) can provide several advantages in a direct matrix converter (DMC), such as less switching number and less execution time for modulation signals' calculation. However, it suffers from high common-mode voltage (CMV), which may cause damage to the DMC-based system. This article proposes a novel discontinuous PWM (DPWM) method to not only mitigate CMV but also further improve the conversion efficiency. In this method, the switching sequence is obtained in a new way using two medium and two small input line voltages, increasing the conversion efficiency. Besides, the proposed DPWM employs a rotating vector instead of a zero vector, which causes the CMV to reduce by 50% compared with the conventional DPWM. Notably, the proposed DPWM provides the above advantages while maintaining low total harmonic distortion (THD). Simulations and experiments have been conducted to verify the proposed DPWM method's effectiveness. The results of these tests support the claims made in the paper regarding the reduction of CMV, improved efficiency, and low THD.
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来源期刊
IEEE Open Journal of the Industrial Electronics Society
IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
10.80
自引率
2.40%
发文量
33
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.
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