Direct Modulation of Matrix Converter With Optimized Switch Transitions

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-12-24 DOI:10.1109/TIE.2024.3515262
Siddharth Raju;Maxim Erickson;Ned Mohan
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Abstract

The two most commonly used modulation schemes for conventional matrix converters are indirect and direct space vector pulse width modulation (PWM). The former is preferred due to its mathematical simplicity. But this simplicity comes at the cost of concealing some redundancies, which can be exploited to improve the output voltage waveform, suppress common mode voltage, and reduce switching losses. This article proposes a new modulation algorithm that eliminates the redundant states of the direct space vector PWM. This novel algorithm eliminates the need for the zero vector and specific active vectors over a wide range of operating conditions, leading to improved output THD and lower switching losses. A rigorous mathematical analysis is performed and validated with a 5 kW laboratory prototype.
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优化开关转换矩阵变换器的直接调制
传统矩阵变换器最常用的两种调制方案是间接和直接空间矢量脉宽调制(PWM)。前者因其数学上的简单性而更受欢迎。但是这种简单的代价是隐藏了一些冗余,这些冗余可以用来改善输出电压波形,抑制共模电压,降低开关损耗。本文提出一种新的调制算法,消除了直接空间矢量PWM的冗余状态。这种新颖的算法消除了在大范围工作条件下对零矢量和特定有源矢量的需求,从而提高了输出THD并降低了开关损耗。进行了严格的数学分析,并在5kw实验室样机上进行了验证。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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